Entries |
Document | Title | Date |
20080205772 | REPRESENTATIVE IMAGE SELECTION BASED ON HIERARCHICAL CLUSTERING - In a computer-mediated method for providing representative images, image records are classified spatio-temporally into groups. In each group, image records are partitioned into clusters and the hierarchically highest cluster is ascertained. The partitioning is between a hierarchy of feature clusters and a remainder cluster, based on a predetermined plurality of saliency features. Feature clusters each have one or more of the saliency features. The remainder cluster lacks the saliency features. Feature clusters are each exclusive of the saliency features of any higher clusters in the hierarchy and non-exclusive of the saliency features of any lower feature clusters in the hierarchy. A representative image of each group is designated from respective image records based on: the respective saliency feature of the highest cluster when the highest cluster is a feature cluster and independent of the saliency features when the highest cluster is the remainder cluster. | 08-28-2008 |
20080205773 | VIDEO DATA MATCHING USING CLUSTERING ON COVARIANCE APPEARANCE - Video data matching includes both a single region of data and sequences of regions of data. In an embodiment, a video processing system selects, from a first matrix row corresponding to a test appearance model, one or more other appearance models as a function of similarity measures populating the first matrix row. After selection of the one or more other appearance models, the system then selects, from other matrix rows corresponding to the one or more other appearance models selected in the first step, one or more additional appearance models as a function of the similarity measures populating the other matrix rows. The system then ranks the appearance models selected from the first matrix row and the other matrix rows. | 08-28-2008 |
20080205774 | Document clustering using a locality sensitive hashing function - Documents from a data stream are clustered by first generating a feature vector for each document. A set of cluster centroids (e.g., feature vectors of their corresponding clusters) are retrieved from a memory based on the feature vector of the document using a locality sensitive hashing function. The centroids may be retrieved by retrieving a set of cluster identifiers from a cluster table, the cluster identifiers each indicative of a respective cluster centroid, and retrieving the cluster centroids corresponding to the retrieved cluster identifiers from a memory. Documents may then be clustered into one or more of the candidate clusters using distance measures from the feature vector of the document to the cluster centroids. | 08-28-2008 |
20080205775 | Online document clustering - Documents from a data stream are clustered by first generating a feature vector for each document. A set of cluster centroids (e.g., feature vectors of their corresponding clusters) are retrieved from a memory based on the feature vector of the document and a relative age of each of the cluster centroids. The centroids may be retrieved by retrieving a set of cluster identifiers from a cluster table, the cluster identifiers each indicative of a respective cluster centroid, and retrieving the cluster centroids corresponding to the retrieved cluster identifiers from a memory. A list of cluster identifiers in the cluster table may be maintained based on the relative age of cluster centroids corresponding to the cluster identifiers. Cluster identifiers that correspond to cluster centroids with a relative age exceeding a predetermined threshold are periodically removed from the list of cluster identifiers. | 08-28-2008 |
20080219566 | SYSTEM AND METHOD FOR IDENTIFYING AND LABELING CLUSTER PIXELS IN A FRAME OF IMAGE DATA FOR OPTICAL NAVIGATION - A system and method for identifying and labeling cluster pixels in a frame of image data for optical navigation determines whether a current pixel of the frame of image data is a cluster pixel and uses neighboring pixels of the current pixel to label the current pixel as belonging to a new cluster or an existing cluster. | 09-11-2008 |
20080226178 | Method and system for image evaluation data analysis - A method is provided for operating a computer to analyze image evaluation data from electronic survey respondents to evaluate preferences related to two dimensional and three dimensional images. Data files, which include designated area data, image attributes, and survey respondent opinions for one or more images in an electronic survey, are received. A graphical user interface permits an operator to reformat the designated area data and set analysis parameters. Cluster analysis is performed on the data files to reduce the dimensionality of the designated area data and to classify areas of the survey images that generate positive and negative responses. The analysis produces coordinate data to map cluster classifications and for construction of a heat map. In association with descriptive statistical analysis, cluster score evaluation is performed to identify the clusters of interest. Respondent comments and results from the statistical analysis are linked to clusters of interest. | 09-18-2008 |
20080232697 | Image presentation system and operating method thereof - A system to display automatically organized images coordinating with pace of background music is disclosed. Users only need to give images and a music clip, and the system will automatically generate a presentation that combines visual and aural effects to display the organized images synchronously accompanying the music. Multiple images that have similar characteristics are well arranged and displayed at the same frame to emphasize the atmosphere of viewing experience. In addition, collaborative presentation of images that is synchronous to music even improves the enjoyment of image browsing. | 09-25-2008 |
20080232698 | Object image detection method and object image detection device - An object image detection device is disclosed that is able to rapidly detect an object image from an input image. The object image detection device includes an image block generation unit to generate plural image blocks from the input image for detecting the object images, an image classification unit to determine whether each of the image blocks includes one or more of the object images by using one or more features of the object images, and acquire the image blocks including the object images to be object image candidates; and a detection unit to sequentially detect the object images from the object image candidates. The image classification unit acquires the object image candidates based on a relative positional relationship between the image blocks and already-acquired object image candidates. | 09-25-2008 |
20080253663 | Content management apparatus, image display apparatus, image pickup apparatus, processing method and program for causing computer to execute processing method - Disclosed herein is a content management apparatus, including: content inputting means for inputting a content with which position information is associated; position information acquisition means for acquiring the position information associated with the content inputted by the content inputting means; tree production means for producing binary tree structure data corresponding to a binary tree having leaves to which contents inputted by the content inputting means correspond based on the position information of the contents acquired by the position information acquisition means; and determination means for extracting a node which satisfies a predetermined condition from among nodes of the binary tree structure data produced by the tree production means and determining those of the contents which belong to the extracted node as one group. | 10-16-2008 |
20080292196 | PHOTO CLASSIFICATION USING OPTICAL PARAMETERS OF CAMERA FROM EXIF METADATA - A method of classifying and organizing digital images utilizing optical metadata (captured using multiple sensors on the camera) may define semantically coherent image classes or annotations. The method defines optical parameters based on the physics of vision and operation of a camera to cluster related images for future search and retrieval. An image database constructed using photos taken by at least thirty different users over a six year period on four different continents was tested using algorithms to construct a hierarchal clustering model to cluster related images. Additionally, a survey about the most frequent image classes shot by common people forms a baseline model for automatic annotation of images for search and retrieval by query keyword. | 11-27-2008 |
20080304755 | Face Annotation Framework With Partial Clustering And Interactive Labeling - Systems and methods are described for a face annotation framework with partial clustering and interactive labeling. In one implementation, an exemplary system automatically groups some images of a collection of images into clusters, each cluster mainly including images that contain a person's face associated with that cluster. After an initial user-labeling of each cluster with the person's name or other label, in which the user may also delete/label images that do not belong in the cluster, the system iteratively proposes subsequent clusters for the user to label, proposing clusters of images that when labeled, produce a maximum information gain at each iteration and minimize the total number of user interactions for labeling the entire collection of images. | 12-11-2008 |
20080310738 | Device for Outputting Character Recognition Results, Character Recognition Device, and Program Therefor - An output mechanism of a character recognition device includes a category classifier for classifying image data of characters to be recognized for each category recognized in character recognition processing, a clustering processor for determining feature values related to shapes of characters included in the image data in each category classified by the category classifier, and for classifying the image data into one or more clusters based on the feature values, and a screen creator for creating a confirmation screen for displaying the image data for each cluster classified by the clustering processor. | 12-18-2008 |
20090003712 | Video Collage Presentation - A method, a computer-readable storage media, and a user interface describe techniques for creating a video collage synthesized from video content, selecting representative images from the video content, extracting and resizing regions of interest (ROI) from the representative images from the video content, and arranging the regions of interest on a canvas without seams while preserving a temporal structure of the video content. The described method, computer-readable storage, and user interface enhance the experience of the user in browsing a video collage that is compact. | 01-01-2009 |
20090003713 | METHOD AND APPARATUS FOR CLASSIFYING AND RANKING INTERPRETATIONS FOR MULTIMODAL INPUT FUSION - A method used in an electronic equipment ( | 01-01-2009 |
20090028445 | CHARACTER IMAGE FEATURE DICTIONARY PREPARATION APPARATUS, DOCUMENT IMAGE PROCESSING APPARATUS HAVING THE SAME, CHARACTER IMAGE FEATURE DICTIONARY PREPARATION PROGRAM, RECORDING MEDIUM ON WHICH CHARACTER IMAGE FEATURE DICTIONARY PREPARATION PROGRAM IS RECORDED, DOCUMENT IMAGE PROCESSING PROGRAM, AND RECORDING MEDIUM ON WHICH DOCUMENT IMAGE PROCESSING PROGRAM IS RECORDED - An image of a character string composed of M pieces of characters is clipped from a document image, and the image is divided character by character, and image features of each character image are extracted. On the basis of the image features, N (N>1, integer) pieces of character images in descending order of degree of similarity are selected as candidate characters from a character image feature dictionary which stores the image features of character image in units of character, and the first index matrix of M×N cells is prepared. A candidate character string composed of a plurality of candidate characters constituting the first column of the first index matrix, is subjected to a lexical analysis according to a predetermined language model, whereby a second index matrix adjusted into a character string which makes sense is prepared to he utilized for searching. | 01-29-2009 |
20090034850 | Method and Apparatus for Reading a Surface Coded Pattern - A method of determining a regular grid pattern from a surface coded pattern that comprises the regular grid pattern interleaved with a further data carrying pattern wherein the surface coded pattern is subject to perspective distortion, the method comprising:
| 02-05-2009 |
20090052787 | IMAGE SEARCH APPARATUS, IMAGE SEARCH METHOD, AND STORAGE MEDIUM STORING A PROGRAM FOR CAUSING A SEARCH APPARATUS TO EXECUTE A SEARCH METHOD - In an image search apparatus, a data manager responds to an instruction for a first search condition issued via a user interface to manage data of a target model acquired from a database and generates an image to be displayed on a user interface. A determination processor responds to an instruction for a second search condition issued by positioning a pointer on the whole model image to compare a closed area defined by the specified position with boundary information of each part image, retrieves candidate part images, and prioritizes the candidate part images in order of increasing area calculated based on the boundary information. A parts selection processor displays the retrieved candidate part images on the user interface according to the order of increasing area in response to an instruction for a third search condition for choosing a target part image from among the candidate part images. | 02-26-2009 |
20090074305 | METHOD AND SYSTEM FOR FUZZY CLUSTERING OF IMAGES - An approach to clustering a set of images based on similarity measures employs a fuzzy clustering paradigm in which each image is represented by a node in a graph. The graph is ultimately partitioned into subgraphs, each of which represent true clusters among which the various images are distributed. The partitioning is performed in a series of stages by identifying one true cluster at each stage, and removing the nodes belonging to each identified true cluster from further consideration so that the remaining, unclustered nodes may then be grouped. At the beginning of each such stage, the nodes that remain to be clustered are treated as all belonging to a single candidate cluster. Nodes are removed from this single candidate cluster in accordance with similarity and connectivity criteria, to arrive at a true cluster. The member nodes of this true cluster are then removed from further consideration, prior to the next stage in the process. | 03-19-2009 |
20090110302 | Declustering Point-of-Interest Icons - Super-clusters of point-of-interest locations are created based on how close the point-of-interest locations are to one another. Additionally, one or more mini-clusters are created in each of the super-clusters based on how close the point-of-interest locations within each super-cluster are to one another. For each of one or more mini-clusters, some point-of-interest icons corresponding to the point-of-interest locations are placed based at least in part on a mean out positioning vector that is based at least in part on a center of the mini-cluster and a center of the super-cluster that includes the mini-cluster. Additionally, some point-of-interest icons are attempted to be placed as a group, while others are attempted to be placed individually. | 04-30-2009 |
20090110303 | OBJECT RECOGNIZING APPARATUS AND METHOD - An object is identified by detecting an object area image of an object to be recognized from a degraded image, converting the object area image to a frequency area, extracting a feature vector which indicates the amount of blur, comparing the feature vector and a classified plurality of blurred images, obtaining a cluster which is the most similar to the feature vector, selecting one point spread function corresponding to the similar cluster, restoring the object area image to the image before being blurred using the point spread function, and comparing the restored image and a target image. | 04-30-2009 |
20090136141 | ANALYZING A SEGMENT OF VIDEO - There is disclosed a quick and efficient method for analyzing a segment of video, the segment of video having a plurality of frames. A reference portion is acquired from a reference frame of the plurality of frames. Plural subsequent portions are then acquired from a corresponding subsequent frame of the plurality of frames. Each subsequent portion is then compared with the reference portion, and an event is detected based upon each comparison. There is also disclosed a method of optimizing video including selectively storing, labeling, or viewing video based on the occurrence of events in the video. Furthermore, there is disclosed a method for creating a video summary of video which allows a used to scroll through and access selected parts of a video. The methods disclosed also provide advancements in the field of video surveillance analysis. | 05-28-2009 |
20090141988 | SYSTEM AND METHOD OF OBJECT RECOGNITION AND DATABASE POPULATION FOR VIDEO INDEXING - A method for processing digital media is described. The method, in one example embodiment, includes identification of objects in a video stream by detecting, for each video frame, an object in the video frame and selectively associating the object with an object cluster. The method may further include comparing the object in the object cluster to a reference object and selectively associating object data of the reference object with all objects within the object cluster based on the comparing. The method may further include manually associating the object data of the reference object with all objects within the object cluster having no associated reference object and populating a reference database with the reference object for the object cluster. | 06-04-2009 |
20090161968 | INVARIANT VISUAL SCENE AND OBJECT RECOGNITION - A method for performing image recognition is disclosed. The method includes obtaining a collection of pixels and grouping at least some of the pixels into a set of cluster features based on gradient magnitude. For each cluster feature in the set, statistical variables are generated. The statistical variables represent a collective property of the pixels in the cluster feature. The statistical variables are utilized as a basis for comparing the collection of pixels to a different collection of pixels. | 06-25-2009 |
20090175544 | FINDING STRUCTURES IN MULTI-DIMENSIONAL SPACES USING IMAGE-GUIDED CLUSTERING - A data processing system is provided that comprises a processor, a random access memory for storing data and programs for execution by the processor, and computer readable instructions stored in the random access memory for execution by the processor to perform a method for clustering data points in a multidimensional dataset in a multidimensional image space. The method comprises generating a multidimensional image from the multidimensional dataset; generating a pyramid of multidimensional images having varying resolution levels by successively performing a pyramidal sub-sampling of the multidimensional image; identifying data clusters at each resolution level of the pyramid by applying a set of perceptual grouping constraints; and determining levels of a clustering hierarchy by identifying each salient bend in a variation curve of a magnitude of identified data clusters as a function of pyramid resolution level. | 07-09-2009 |
20090196511 | SYSTEM, METHOD, AND APPARATUS FOR CLUSTERING FEATURES USING AN EXPANSION SHAPE - A computer-implemented method, system, computer-readable medium, and apparatus for identifying a boundary of a cluster in a bitmap, the bitmap having at least one initially set bit, for applying an expansion shape to each of the initially set bits in the bitmap and identifying vertex bits on the boundary of the cluster formed by at least one expansion shape. | 08-06-2009 |
20090274377 | Clustering System and Image Processing System Having the Same - [Subject] It is to provide a clustering system, the processing speed of which is high and which can perform clustering with high accuracy and to provide an image processing system having the clustering system. | 11-05-2009 |
20090279794 | Automatic Discovery of Popular Landmarks - In one embodiment the present invention is a method for populating and updating a database of images of landmarks including geo-clustering geo-tagged images according to geographic proximity to generate one or more geo-clusters, and visual-clustering the one or more geo-clusters according to image similarity to generate one or more visual clusters. In another embodiment, the present invention is a system for identifying landmarks from digital images, including the following components: a database of geo-tagged images; a landmark database; a geo-clustering module; and a visual clustering module. In other embodiments the present invention may be a method of enhancing user queries to retrieve images of landmarks, or a method of automatically tagging a new digital image with text labels. | 11-12-2009 |
20090290802 | CONCURRENT MULTIPLE-INSTANCE LEARNING FOR IMAGE CATEGORIZATION - The concurrent multiple instance learning technique described encodes the inter-dependency between instances (e.g. regions in an image) in order to predict a label for a future instance, and, if desired the label for an image determined from the label of these instances. The technique, in one embodiment, uses a concurrent tensor to model the semantic linkage between instances in a set of images. Based on the concurrent tensor, rank-1 supersymmetric non-negative tensor factorization (SNTF) can be applied to estimate the probability of each instance being relevant to a target category. In one embodiment, the technique formulates the label prediction processes in a regularization framework, which avoids overfitting, and significantly improves a learning machine's generalization capability, similar to that in SVMs. The technique, in one embodiment, uses Reproducing Kernel Hilbert Space (RKHS) to extend predicted labels to the whole feature space based on the generalized representer theorem. | 11-26-2009 |
20090297049 | DETECTION OF PARTIALLY OCCLUDED TARGETS IN LADAR IMAGES - A method for detection the presence of a man-made object partially occluded in a natural environment. The method includes the steps of providing an image segment from three dimensional ladar data, grouping one or more coplanar portion of the pixels into a cluster of planar sections, each planar section including three or more pixels, classifying the cluster based on one or more criterion selected from a group of criteria. | 12-03-2009 |
20090297050 | Statistical Approach to Large-scale Image Annotation - Statistical approaches to large-scale image annotation are described. Generally, the annotation technique includes compiling visual features and textual information from a number of images, hashing the images visual features, and clustering the images based on their hash values. An example system builds statistical language models from the clustered images and annotates the image by applying one of the statistical language models. | 12-03-2009 |
20100040296 | APPARATUS AND METHOD FOR EFFICIENT INDEXING AND QUERYING OF IMAGES IN SECURITY SYSTEMS AND OTHER SYSTEMS - A method includes receiving one or more query images and identifying multiple features associated with an object or an activity using the one or more query images. The method also includes accessing a sparse representation index using the identified features. The sparse representation index includes a multi-dimensional polytope having multiple vertices, and the features identify a point in the polytope. The method further includes identifying multiple vertices in the sparse representation index that are associated with the identified point and providing one or more images associated with the identified vertices. In addition, the method includes identifying one or more clusters of features associated with the identified vertices and providing one or more additional images associated with the one or more identified clusters. The one or more clusters may be identified using a clustering index identifying the clusters and features of training images associated with the clusters. | 02-18-2010 |
20100074540 | SYSTEMS AND METHODS FOR PERFORMING IMAGE CLUSTERING - One embodiment, among others, is a method for clustering a plurality of images, wherein the plurality of images comprises faces of a plurality of individuals. The method comprises arranging the plurality of images associated with a plurality of individuals into a plurality of subgroups for each individual based on time stamps associated with the plurality of images, wherein the plurality of images are arranged according to increments of a time interval. The method further comprises determining whether adjacent subgroups are correlated and forming groups comprising correlated subgroups. Based on correlations between adjacent groups, the groups are associated with a particular individual. | 03-25-2010 |
20100124378 | METHOD FOR EVENT-BASED SEMANTIC CLASSIFICATION - A method of automatically classifying images in a consumer digital image collection, includes generating an event representation of the image collection; computing global time-based features for each event within the hierarchical event representation; computing content-based features for each image in an event within the hierarchical event representation; combining content-based features for each image in an event to generate event-level content-based features; and using time-based features and content-based features for each event to classify an event into one of a pre-determined set of semantic categories. | 05-20-2010 |
20100215281 | Clustering-Scheme-Encoded Interfaces Providing Orientation Feedback - Clustering-definition-based encoding schemes printed as a computer-oriented digital layer onto a physical surface whereby the surface functions as an interface enabling, via a simple image-acquisition device scanning a minimal field required to establish the clustering definition, the provision, to a suitable data processing and human-oriented display means, of feedback on the orientation of the image-acquisition device relative to the digital layer overall. | 08-26-2010 |
20100226584 | Method of Grouping Images by Face - A method of browsing face regions in digital images in a photo displaying system includes detecting a plurality of face regions from a plurality of images, grouping the face regions into a plurality of clusters based on similarities of the face regions, determining a degree of connection between the clusters, modifying the degree of connection between the clusters according to a relationship of the face regions, and displaying the face regions according to the degree of connection between the clusters. | 09-09-2010 |
20100232718 | ENERGY MINIMIZATION FOR CLASSIFICATION, PATTERN RECOGNITION, SENSOR FUSION, DATA COMPRESSION, NETWORK RECONSTRUCTION AND SIGNAL PROCESSING - A data analyzer/classifier comprises using a preprocessing step, and energy minimization step, and a postprocessing step to analyze/classify data. | 09-16-2010 |
20100232719 | Shape Clustering in Post Optical Character Recognition Processing - Techniques for shape clustering and applications in processing various documents, including an output of an optical character recognition (OCR) process. | 09-16-2010 |
20110007975 | Image Display Apparatus and Image Display Method - According to embodiments, an image display apparatus includes: a face detection processing section configured to detect face areas included in video content to generate face cut-out images including the face areas; a face clustering processing section configured to group a plurality of face cut-out images included in the video content by respective characters of the video content to classify clusters corresponding to the characters; an evaluation section configured to obtain evaluation values by evaluating the plurality of face cut-out images in relation to one or more evaluation items among a plurality of evaluation items corresponding to a plurality of features included in the face cut-out images; and a selection section configured to select face cut-out images in which evaluation values are within a predetermined range from among the plurality of face cut-out images in the clusters as representative face icon images used for display. | 01-13-2011 |
20110019927 | IMAGE PROCESSING METHOD, APPARATUS AND PROGRAM - The performance of image processing is assured by executing region segmentation of an image at high speed. Pixels are classified into clusters conforming to a feature such as color. In a case where a suitable cluster for classifying a pixel is undefined, a new cluster is defined and the pixel is classified into this cluster. An upper-limit value on number of clusters is set prior to classification. If the number of clusters exceeds the upper-limit value, clusters already defined are merged. This limits an increase in the number of clusters. | 01-27-2011 |
20110019928 | IMAGE PROCESSING METHOD, IMAGE PROCESSING APPARATUS, AND PROGRAM - Every time clustering processing for a predetermined number of pixels is complete, a small cluster having the number of allocated pixels, which is equal to or smaller than a pixel count threshold, is discriminated. The small cluster, which is discriminated to have the number of allocated pixels equal to or smaller than the pixel count threshold, is merged to a cluster having the nearest representative feature vector. With this arrangement, the number of clusters which are to undergo distance calculations of feature vectors is reduced. According to this arrangement, region segmentation of an image can be executed faster by the clustering processing. | 01-27-2011 |
20110026841 | CLUSTERING PROCESSING METHOD, CLUSTERING PROCESSING APPARATUS, AND NON-TRANSITORY COMPUTER-READABLE MEDIUM - A clustering processing method for dividing a samples into a plurality of clusters based on a feature amount of each sample, the plurality of clusters each belonging to one of a plurality of layers composed of M layers (M=2, . . . , K), the clustering processing method comprises a sample allocating step of allocating a sample targeted for processing to a cluster belonging to a first layer, based on a result of comparing the feature amount of the target sample with a representative feature amount of each of clusters belonging to the first layer; a determination step of determining whether to allocate a cluster belonging to an M−1th layer to an Mth layer; and a cluster allocating step of allocating a cluster belonging to the M−1th layer to the Mth layer, if it is determined in the determination step to allocate a cluster belonging to the M−1th layer to the Mth layer. | 02-03-2011 |
20110038550 | Automatic Creation Of A Scalable Relevance Ordered Representation Of An Image Collection - In a method of automatically creating a scalable relevance ordered representation of an image collection, the images in the image collection are classified into a plurality of clusters based upon a feature of the images. In addition, respective relevance levels of the images contained in each of the plurality of clusters are determined and the images in each of the plurality of clusters are ordered according to the relevance levels. Moreover, the images from the ordered plurality of clusters are arranged according to a predefined arrangement process to create the scalable relevance ordered representation of the image collection. | 02-17-2011 |
20110044549 | GENERATION OF VIDEO CONTENT FROM IMAGE SETS - An image processing method comprises: clustering images of a set of images to generate a plurality of scenes each comprising an unordered cluster of images; ordering images within scenes respective to video coherence to generate ordered scenes comprising ordered sequences of images; and generating video content as images ordered in accordance with the ordered sequences of images comprising the scenes. In some embodiments, the video content is converted to video comprising video frames played at a predetermined frame rate. | 02-24-2011 |
20110097001 | COMPUTER-IMPLEMENTED VISUALIZATION METHOD - A method, system and computer product for visualizing affinities between objects. The method includes the steps of: forming a representation of a minimum spanning tree where the minimum spanning tree connects the plurality of objects based on a pairwise distance between the plurality of objects; forming a hierarchical cluster of the plurality of objects where the hierarchical cluster includes a level; agglomerating the plurality of objects based on the pairwise distance; displaying a view of the representation of the minimum spanning tree in a graphical user interface; receiving a user selection of a parameter containing a hierarchical level; and identifying, in the view, a target cluster that corresponds to the hierarchical level; where at least one of the steps is carried out using a computer device so that affinities between the plurality of objects are visualized. | 04-28-2011 |
20110103700 | IMAGE CLASSIFICATION DEVICE AND IMAGE CLASSIFICATION PROGRAM - An image classification device includes a characteristic value set calculation unit | 05-05-2011 |
20110123124 | METHOD AND APPARATUS FOR GENERATING AN IMAGE COLLECTION - A method of generating an image collection is described. A plurality of images are retrieved (step | 05-26-2011 |
20110182522 | METHOD FOR MULTI-LAYER CLASSIFIER - The present invention relates to a method for multi-layer classifier applying on a computer readable medium for classifying multiple image samples. The method at least comprising the following steps: (a) receiving a plurality of samples; (b) providing a plurality of attributes, and evaluating a significance of the attributes by a selection criterion; (c) selecting at least one cut-point to establish a discriminant analysis model; (d) proceeding a step of evaluating a performance of the discriminant analysis model by adding the attributes to the discriminant analysis model; and (e) providing a stop criterion. The present invention also provides a computer readable medium for classifying multiple image samples by using the method for multi-layer classifier. | 07-28-2011 |
20110211764 | Social Network System with Recommendations - A social network application may identify images having common links between a first user's image collection and a second user's image collection. The common links may be identified through metadata or similar portions of the images. Using the first user's image collection, elements of interest may be identified and compared to a second user's image collection to find matches. When matches are found, the results may be selected from groups of results to show a diverse set of matches. The user may be presented with options to select and add matched images to the user's collection, as well as to browse more images that match one or more of the groups. | 09-01-2011 |
20110222787 | FRAME SEQUENCE COMPARISON IN MULTIMEDIA STREAMS - In some embodiments, the technology compares multimedia content to other multimedia content via a content analysis server. In other embodiments, the technology includes a system and/or a method of comparing video sequences. The comparison includes receiving a first list of descriptors pertaining to a plurality of first video frames and a second list of descriptors pertaining to a plurality of second video frames; designating first segments of the plurality of first video frames that are similar and second segments of the plurality of second video frames that are similar; comparing the first segments and the second segments; and analyzing the pairs of first and second segments to compare the first and second segments to a threshold value. | 09-15-2011 |
20110235926 | INFORMATION PROCESSING APPARATUS, METHOD AND PROGRAM - An information processing apparatus, which creates a tree structure used by a recognition apparatus which recognizes specific information using the tree structure, including a memory unit which stores data including the information to be recognized and data not including the information so as to correspond to a label showing whether or not the data includes the information, a recognition device which recognizes the information and outputs a high score value when the data including the information is input, and a grouping unit which performs grouping of the recognition devices using a score distribution obtained when the data is input into the recognition devices. | 09-29-2011 |
20110249904 | FACE CLUSTERING DEVICE, FACE CLUSTERING METHOD, AND PROGRAM - Provided is a face clustering device that detects a face included in an image, detects a direction of the detected face, detects, taking into account the detected direction of the face, a face with a similar feature and forms a collection of pieces of face information showing a feature of this face, narrows down, for each collection of pieces of face information which has been formed, the number of pieces of face information to a number set in advance for each face direction and sets each collection of pieces of face information for which the number has been narrowed down as a unit group, and performs, with the set unit group as a unit, clustering based on pieces of face information included in each unit group. | 10-13-2011 |
20110249905 | SYSTEMS AND METHODS FOR AUTOMATICALLY EXTRACTING DATA FROM ELECTRONIC DOCUMENTS INCLUDING TABLES - A method of automatically extracting data from an electronic document including tables is provided. The method includes: automatically identifying rows of the table using gaps in horizontal projections of the plurality of image sections, wherein at least some of the identified rows in close proximity are collected to form table formations; and automatically identifying columns of the table using at least some of the plurality of image sections that are vertically aligned, wherein the identified columns are grown in each of the table formations using gaps in vertical projections of the plurality of image sections until an obstruction is reached. The method further includes automatically identifying labels in the plurality of corresponding image sections to associate the identified labels with at least one of the identified columns and the identified rows; and automatically extracting data from cells of the table formed by the identified rows and columns. | 10-13-2011 |
20110286676 | SYSTEMS AND RELATED METHODS FOR THREE DIMENSIONAL GESTURE RECOGNITION IN VEHICLES - A method and system for performing gesture recognition of a vehicle occupant employing a time of flight (TOF) sensor and a computing system in a vehicle. An embodiment of the method of the invention includes the steps of receiving one or more raw frames from the TOF sensor, performing clustering to locate one or more body part clusters of the vehicle occupant, locating the palm cluster of the vehicle occupant, calculating the location of the tip of the hand of the vehicle occupant, determining whether the hand has performed a dynamic or a static gesture, retrieving a command corresponding to one of the determined static or dynamic gestures, and executing the command. | 11-24-2011 |
20110299786 | SAMPLING POSITION-FIXING SYSTEM - In the case of collecting samples, it is difficult to select a representative point of a target area. Thus, the samples are collected from certain positions, resulting in generation of variations of data. The target area is specified on an image to extract features from the target area. Further, clustering is performed for the features on a feature space to obtain representative features, and the obtained representative features are extracted as sampling points. | 12-08-2011 |
20110299787 | INVARIANT VISUAL SCENE AND OBJECT RECOGNITION - A method for performing image recognition is disclosed. The method includes obtaining a collection of pixels and grouping at least some of the pixels into a set of cluster features based on gradient magnitude. For each cluster feature in the set, statistical variables are generated. The statistical variables represent a collective property of the pixels in the cluster feature. The statistical variables are utilized as a basis for comparing the collection of pixels to a different collection of pixels. | 12-08-2011 |
20110305399 | IMAGE CLUSTERING - A database of images may be accessed. A feature set may be computed for each image, respectively. Each feature set includes feature integers quantized from interest points of a corresponding image. An initial set of clusters of the feature sets is found based on min hashes of the feature sets. Given the clusters of feature sets, descriptors for each of the clusters are computed, respectively, by selecting feature integers from among the feature sets in a cluster. The clusters are then refined by comparing at least some of the feature sets with at least some of the cluster descriptors, and based on such comparing adding some of the feature sets to clusters whose feature descriptors have similarity to the feature sets. | 12-15-2011 |
20110317927 | CLUSTERING PROCESSING APPARATUS AND CLUSTERING PROCESSING METHOD - A clustering processing apparatus comprises: N clustering units that group samples included in the data block into clusters, each clustering unit sequentially taking each sample as a target, grouping the target sample into one of the clusters within the data block, storing cluster information including identification on each cluster into which the samples are grouped within the data block, and storing sample assignment information indicating the cluster to which the target sample belongs; a cluster information transferring unit that selects cluster information on a cluster to be integrated from the cluster information when a predetermined condition is met, and transfers the selected cluster information to a third storage unit; and an updating unit that integrates clusters selected based on the cluster information stored in the third storage unit into an integrated cluster, and updates the sample assignment information based on information of the integrated clusters. | 12-29-2011 |
20110317928 | IMAGE EVALUATING DEVICE, IMAGE EVALUATING METHOD, PROGRAM, AND INTEGRATED CIRCUIT - Provided is an image evaluation apparatus for evaluating each of a plurality of images, the images including objects that each belong to a cluster. The image evaluation apparatus calculates (i) a first value pertaining to an object appearing in an image (for instance, the first value indicates a frequency at which the object appears in the plurality of images) according to a cluster that the object belongs to and (ii) a second value pertaining to the object (for instance, the second value indicates an occupation degree of the object in the image) according to an appearance characteristic that the object exhibits in the image. The image evaluation apparatus further calculates, according to the first value and second value, an importance degree of the object and an importance degree of the image. | 12-29-2011 |
20120008869 | Methods and Systems for Image Data Processing - Methods, storage mediums, and systems for image data processing are provided. Embodiments for the methods, storage mediums, and systems include configurations to perform one or more of the following steps: background signal measurement, particle identification using classification dye emission and cluster rejection, inter-image alignment, inter-image particle correlation, fluorescence integration of reporter emission, and image plane normalization. | 01-12-2012 |
20120070091 | GRAPH LATTICE METHOD FOR IMAGE CLUSTERING, CLASSIFICATION, AND REPEATED STRUCTURE FINDING - A document recognition system and method, where images are represented as a collection of primitive features whose spatial relations are represented as a graph. Useful subsets of all the possible subgraphs representing different portions of images are represented over a corpus of many images. The data structure is a lattice of subgraphs, and algorithms are provided means to build and use the graph lattice efficiently and effectively. | 03-22-2012 |
20120093424 | DATA CLUSTERING - A clustering procedure for grouping a set of images is selected from amongst plural clustering procedures. A predetermined categorization of objects such as images is input, and image features are extracted from each image in the set of images. A comparison measure is determined, by which to compare respective features of the set of images. Respective features between the images in the set of images are compared, based on the comparison measure, and a group of measures representing the differences between features of respective images is output. The plural clustering procedures are applied to the set of images to cluster the images based in part on the calculated group of measures. A clustering quality score is generated for each clustering procedure, based on the clusters created by the clustering procedure and the predetermined categorization of images. The clustering procedure with a high clustering quality score is selected. | 04-19-2012 |
20120106858 | COMPRESSION OF 3D MESHES WITH REPEATED PATTERNS - 3D models of the engineering class usually have a large number of connected components, with small numbers of large triangles, often with arbitrary connectivity. To enable compact storage and fast transmission of large 3D mesh models, an efficient compression strategy specially designed for 3D mesh models is provide. A method for encoding a 3D mesh model comprises determining and clustering repeating components, normalizing the components, wherein scaling factors are clustered and orientation axes are clustered, encoding the connected components using references to the clusters, and entropy encoding the connected components. | 05-03-2012 |
20120106859 | Image Album Creation - A method for creating an image album includes selecting a subset of images from a source set and creating a plurality of image albums by arranging the subset of images over one or more pages. Each image album is evaluated by a penalty detection unit ( | 05-03-2012 |
20120121194 | VECTOR TRANSFORMATION FOR INDEXING, SIMILARITY SEARCH AND CLASSIFICATION - A feature vector is encoded into a sparse binary vector. The feature vector is retrieved, for example from storage or a feature vector generator. The feature vector represents a media object or other data object. One or more permutations are generated, the dimensionality of the generated permutations equivalent to the dimensionality of the feature vector. The permutations may be generated randomly or formulaically. The feature vector is permuted with the one or more permutations, creating one or more permuted feature vectors. The permuted feature vectors are truncated according to a selected window size. The indexes representing the maximum values of the permuted feature vectors are identified and encoded using one-hot encoding, producing one or more sparse binary vectors. The sparse binary vectors may be concatenated into a single sparse binary vector and stored. The sparse binary vector may be used in the similarity search, indexing or categorization of media objects. | 05-17-2012 |
20120148165 | IMAGE EVALUATION APPARATUS, IMAGE EVALUATION METHOD, PROGRAM, AND INTEGRATED CIRCUIT - An image evaluation apparatus is provided, which calculates a characteristic value indicating a state of appearance of objects corresponding to person a and person b appearing in image A and an object corresponding to person b appearing in image B. Subsequently, the image evaluation apparatus specifies person b′ as the photographer of image B and calculates a likelihood degree indicating accuracy of the determination. Further, the image evaluation apparatus calculates an importance degree of each of images A and B according to the characteristic values of person a and person b appearing in image A and image B and the likelihood degree of the photographer of image B. | 06-14-2012 |
20120201473 | System And Method For Generating Groups Of Cluster Spines For Display - A system and method for generating groups of cluster spines for display are provided. One or more concepts for each cluster in a set of clusters are generated. Spines are formed from at least a portion of the clusters based on the concepts. At least one spine unique from all other spines is placed. One or more spine groups are generated by positioning at least one unplaced spine in relation to one of the placed unique spines. The spine groups are displayed. | 08-09-2012 |
20120230593 | Systems and Methods for Performing Image Clustering - One embodiment, among others, is a method for clustering a plurality of images, wherein the plurality of images comprises faces of a plurality of individuals. The method comprises arranging the plurality of images associated with a plurality of individuals into a plurality of subgroups for each individual based on time stamps associated with the plurality of images, wherein the plurality of images are arranged according to increments of a time interval. The method further comprises determining whether adjacent subgroups are correlated and forming groups comprising correlated subgroups. Based on correlations between adjacent groups, the groups are associated with a particular individual. | 09-13-2012 |
20120263388 | ROBUST FEATURE MATCHING FOR VISUAL SEARCH - Techniques are disclosed for performing robust feature matching for visual search. An apparatus comprising an interface and a feature matching unit may implement these techniques. The interface receives a query feature descriptor. The feature matching unit then computes a distance between a query feature descriptor and reference feature descriptors and determines a first group of the computed distances and a second group of the computed distances in accordance with a clustering algorithm, where this second group of computed distances comprises two or more of the computed distances. The feature matching unit then determines whether the query feature descriptor matches one of the reference feature descriptors associated with a smallest one of the computed distances based on the determined first group and second group of the computed distances. | 10-18-2012 |
20120294540 | RANK ORDER-BASED IMAGE CLUSTERING - Rank ordered-based object image clustering may facilitate robust clustering of digital images. The rank order-based clustering of object images may include defining asymmetric distances between each object image and one or more other object images in a set of multiple object images using generated ordered lists. The rank order-based clustering may further include obtaining a rank order distance for each pairing of object images by normalizing the asymmetric distances of corresponding object images. The multiple object images are further clustered into object image clusters based on the rank order distances and adaptive absolute distance. | 11-22-2012 |
20120301039 | IMAGE CLUSTERING METHOD - Disclosed is a method of determining one or more event subsets within a plurality of images. Each image is associated with time and location data specifying the time and location of capture of the image. The method determines a time variable for each adjacent pair of images in a capture time ordered list of the plurality of images. A distance variable for each adjacent pair of images in the ordered list of images is then determined. The method determines speed data of the image capture device at the time and location of capture of each image. The ordered list of images is then partitioned into one or more event subsets on the basis of a cost function, the cost function being determined in accordance with a normalisation of the time variable and distance variable, wherein the time variable and the distance variable are weighted relative to the speed data. | 11-29-2012 |
20120321204 | IDENTIFYING INFORMATION RELATED TO A PARTICULAR ENTITY FROM ELECTRONIC SOURCES, USING DIMENSIONAL REDUCTION AND QUANTUM CLUSTERING - Presented are systems and methods for identifying information about a particular entity including acquiring electronic documents having unstructured text, that are selected based on one or more search terms from a plurality of terms related to the particular entity. Tokenizing the acquired documents to form a data matrix and then calculating a plurality of eigenvectors, using the data matrix and the transpose of the data matrix. The variance is then acquired for determining the amount of intra-clustering between the documents and then the acquired documents are clustered using some of the eigenvectors and the variance. | 12-20-2012 |
20120328203 | Image Registration - A method and apparatus for processing images. Clusters of first features identified in a first image are identified. Each cluster in the clusters comprises a first group of features from the first features. A transformation for registering each cluster in the clusters with a corresponding cluster comprising a second group of features from second features identified in a second image is identified using an initial correspondence between the first features in the first image and the second features in the second image. A set of clusters from the clusters of the first features is identified using the transformation identified for each cluster. A final transformation for registering the first image with the second image is identified using the set of clusters. | 12-27-2012 |
20130022282 | METHODS FOR CLUSTERING COLLECTIONS OF GEO-TAGGED PHOTOGRAPHS - Systems and methods for clustering photos that include both time stamps and location coordinates. A two step method that first detects boundaries using time and location information independently to form a set of candidate boundaries is implemented. Such boundaries partition the set of time-ordered photos into clusters. A subset of the candidate boundaries is selected by an efficient dynamic programming procedure to optimize a cost function. Several cost functions are used to design clusterings that are coherent in space, time, or both. One set of cost functions minimizes inter-photo distances directly. A second set maximizes an information measure to select clusterings for consistency in both time and space. | 01-24-2013 |
20130064460 | Image Clustering a Personal Clothing Model - The disclosure is related to a system and method for learning robust clothing clustering based on a cluster ensemble technique applied to the clothing features of images to improve clustering of images. Different types of clothing features that are complementary to each other are computed to provide extensive description of the clothing in the images. Multiple partitions are computed based on the clothing features to generate a cluster ensemble set. A consensus function is applied to the multiple partitions to generate a final clothing consensus clustering that encompasses the information contained in the multiple partitions. A system and method are disclosed for clustering images based on the clothing of one or more persons in the images. | 03-14-2013 |
20130108180 | INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND PROGRAM | 05-02-2013 |
20130148905 | Computer-Implemented System And Method For Placing Cluster Groupings Into A Display - A system and method for generating groups of cluster spines for display are provided. One or more concepts for each cluster in a set of clusters are generated. Spines are formed from at least a portion of the clusters based on the concepts. At least one spine unique from all other spines is placed. One or more spine groups are generated by positioning at least one unplaced spine in relation to one of the placed unique spines. The spine groups are displayed. | 06-13-2013 |
20130163888 | METHOD OF AUTOMATIC MANAGEMENT OF IMAGES IN A COLLECTION OF IMAGES AND CORRESPONDING DEVICE - The present invention relates to the field of management of image data in data storage. In particular, the present invention relates to a method and device for automatic detection of duplicate images in data storage and corresponding device while taking into account user perception of what he considers to be duplicate images, which method and device are particularly efficient with regard to the personalized, automatic management of large amounts of image data. | 06-27-2013 |
20130170761 | APPARATUS AND METHOD FOR ENCODING DEPTH IMAGE BY SKIPPING DISCRETE COSINE TRANSFORM (DCT), AND APPARATUS AND METHOD FOR DECODING DEPTH IMAGE BY SKIPPING DCT - An apparatus and method for encoding an image by skipping discrete cosine transform (DCT), and an apparatus and method for decoding an image by skipping the DCT. An image encoding apparatus may classify residual data into groups, and may encode the residual data using a representative value of each of the groups and group identification information that is used to identify the groups. | 07-04-2013 |
20130216143 | SYSTEMS, CIRCUITS, AND METHODS FOR EFFICIENT HIERARCHICAL OBJECT RECOGNITION BASED ON CLUSTERED INVARIANT FEATURES - One embodiment is a method for selecting and grouping key points extracted by applying a feature detector on a scene being analyzed. The method includes grouping the extracted key points into clusters that enforce a geometric relation between members of a cluster, scoring and sorting the clusters, identifying and discarding clusters that are comprised of points which represent the background noise of the image, and sub-sampling the remaining clusters to provide a smaller number of key points for the scene. | 08-22-2013 |
20130243343 | METHOD AND DEVICE FOR PEOPLE GROUP DETECTION - A method and a device for people group detection, relating to the field of image processing includes acquiring at least one corner and foreground region in video data; computing, according to said corner and foreground region, to obtain at least one cluster; constructing at least one region of people group according to said cluster. The device includes an acquisition module, a clustering module, and a construction module. Automatic people group detection is realized that is independent of the location detection of people and can be applied to any scene including complicated ones, and thus user demands can be better satisfied. | 09-19-2013 |
20130272617 | SPATIAL CLUSTERING OF PIXELS OF A MULTISPECTRAL IMAGE - A method and system for clustering the pixels of a multispectral image is provided. A clustering system computes a maximum spectral similarity score for each pixel that indicates the similarity between that pixel and the most similar neighboring. To determine the maximum similarity score for a pixel, the clustering system generates a similarity score between that pixel and each of its neighboring pixels and then selects the similarity score that represents the highest similarity as the maximum similarity score. The clustering system may apply a filtering criterion based on the maximum similarity score so that pixels with similarity scores below a minimum threshold are not clustered. The clustering system changes the current pixel values of the pixels in a cluster based on an averaging of the original pixel values of the pixels in the cluster. | 10-17-2013 |
20130279816 | CLUSTERING IMAGES - A method and system for clustering images, comprising detecting faces in respective images to generate face data, generating a first cluster of images using the face data, the first cluster comprising images with a common face and representing a corresponding person, generating a second cluster of images using clothes data representing a set of clothing signatures, the second cluster comprising images with a common set of clothes, and using the first and second clusters to link an image of the person to the clusters in order to generate a third cluster for the person. | 10-24-2013 |
20140023282 | SYSTEM, METHOD, AND COMPUTER PROGRAM PRODUCT FOR GENERATING A SUBSET OF A LOW DISCREPANCY SEQUENCE - A system, method, and computer program product are provided for generating a subset of a low discrepancy sequence. In use, a low discrepancy sequence is identified. Additionally, a threshold value is determined. Further, a single dimension of the low discrepancy sequence is selected. Further still, for each element included within the low discrepancy sequence, the selected single dimension is compared to the determined threshold value. Also, a subset of the low discrepancy sequence is generated, based on the comparing. | 01-23-2014 |
20140056530 | FACILITATING ACCESS TO CONTENT IN A CONTENT-AWARE MESH - Facilitating access to content in a content-aware mesh may include a coordinating node storing information associated with each image of a plurality of images. The images may be distributed among at least two nodes of the mesh. The coordinating node may provide access to each image to a node of the mesh. Providing access may be performed without transmitting all of the images to the node. The node may be configured to display an image of the plurality of images via a uniform interface without indication as to which of the at least two nodes the image is stored on. | 02-27-2014 |
20140126830 | INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND PROGRAM - There is provided an information processing device, including a cluster reconfiguration determining unit that, in a case where new data having positional information in a feature amount space is added to a data group in which each data has positional information in the feature amount space and is classified into a cluster based on a distance in the feature amount space, decides that a candidate cluster is to be reconfigured when the new data is classified into the cluster if there are a plurality of candidate clusters into which the new data is classifiable based on the distance in the feature amount space among the clusters. | 05-08-2014 |
20140140631 | COMPUTER-IMPLEMENTED SYSTEM AND METHOD FOR ORGANIZING CLUSTER GROUPS WITHIN A DISPLAY - A computer-implemented system and method for organizing cluster groups within a display is provided. Cluster groups each having one or more spines of clusters are obtained. Each cluster includes at least one document. At least one of the cluster groups is placed around a ring centrally defined in a display. Circle sectors are defined around the ring and an initial target angle is identified within each of the sectors. The at least one cluster group is positioned within one of the circle sectors at the initial target angle. A further one of the cluster groups is positioned within a different circle sector up to one of a maximum and minimum angle relative to the initial target angle for that sector. | 05-22-2014 |
20140169690 | GAMING SCHEME USING GENERAL MOOD INFORMATION - Technologies are generally described for an general mood adding scheme in a cloud-based game system. In some examples, a method performed under control of a computing device may include receiving from a raw database at least one set of facial expression data, each of the at least one set of facial expression data being accompanied by time information and location information, clustering a geographic area to form at least one cluster based at least in part on the at least one set of facial expression data, and storing the at least one cluster in a map database corresponding to the area. | 06-19-2014 |
20140241639 | REDUCTION OF CFAR FALSE ALARMS VIA CLASSIFICATION AND SEGMENTATION OF SAR IMAGE CLUTTER - The classification and segmentation system of the current invention makes use of information from pixels of an image, namely the magnitude of the pixels, to run specific analytics to classify and segment the image pixels into different groups. This invention includes a system for processing an image, the system including an input device, a processor, a memory and a monitor. The input device is configured to receive image data, where the image data includes pixels and each pixel has a magnitude. The memory has instructions stored in it that, when executed by the processor, cause the processor to run calculations. The calculations include: calculating the log-magnitudes from the magnitudes of at least a plurality of the pixels, calculating standard deviations of the log-magnitudes for subsets of the plurality of pixels and compute an integral of the standard deviations over a desired range. The pixels are classified into different groups based on a value of the integral relative to one or more integral values. In one embodiment, a monitor is configured to display a threshold image, wherein the threshold image includes the different groups of pixels. | 08-28-2014 |
20140254947 | SCENE-BASED PEOPLE METERING FOR AUDIENCE MEASUREMENT - Scene-based people metering for audience measurement is disclosed. Example methods disclosed herein include grouping successive image frames depicting a location of a media presentation to form a sequence of scenes, respective scenes including respective groups of the image frames. Such example methods also include grouping matching scenes into respective scene clusters having respective sizes, the scene clusters being represented by respective key frames. Such example methods further include assigning respective ranks to the key frames of the respective scene clusters, the respective ranks being determined based on the respective sizes of the scene clusters. Such example methods additionally include processing the key frames in accordance with the respective ranks to monitor an audience of the media presentation. | 09-11-2014 |
20140270550 | PRESENTATION AND ORGANIZATION OF CONTENT - Embodiments are provided for organization and presentation of content. In some embodiments, a plurality of images and a plurality of similarity rules for image categorization are received. For each image in the plurality of images, that image and each remaining image from the plurality is compared by: applying each similarity rule to the image and a remaining image from the plurality to obtain a numeric result, and recording the numeric result for the pair of images in a numeric representation, the numeric representation embodying similarities. The numeric representation is used as a reference for clustering the plurality of images into clusters of similar images, and each image is stored with a marker denoting a cluster to which it has been assigned. | 09-18-2014 |
20140321762 | AUTOMATIC PHOTO GROUPING BY EVENTS - Intuitive photo grouping is accomplished utilizing photo metadata information, including photos' timestamps, GPS information, name and storage folder identity, to automatically generate logical and meaningful event photo groupings for users. | 10-30-2014 |
20150023607 | GESTURE RECOGNITION METHOD AND APPARATUS BASED ON ANALYSIS OF MULTIPLE CANDIDATE BOUNDARIES - An image processing system comprises an image processor configured to identify a plurality of candidate boundaries in an image, to obtain corresponding modified images for respective ones of the candidate boundaries, to apply a mapping function to each of the modified images to generate a corresponding vector, to determine sets of estimates for respective ones of the vectors relative to designated class parameters, and to select a particular one of the candidate boundaries based on the sets of estimates. The designated class parameters may include sets of class parameters for respective ones of a plurality of classes each corresponding to a different gesture to be recognized. The candidate boundaries may comprise candidate palm boundaries associated with a hand in the image. The image processor may be further configured to select a particular one of the plurality of classes to recognize the corresponding gesture based on the sets of estimates. | 01-22-2015 |
20150063713 | GENERATING A HIERARCHY OF VISUAL PATTERN CLASSES - A hierarchy machine may be configured as a clustering machine that utilizes local feature embedding to organize visual patterns into nodes that each represent one or more visual patterns. These nodes may be arranged as a hierarchy in which a node may have a parent-child relationship with one or more other nodes. The hierarchy machine may implement a node splitting and tree-learning algorithm that includes hard-splitting of nodes and soft-assignment of nodes to perform error-bounded splitting of nodes into clusters. This may enable the hierarchy machine, which may form all or part of a visual pattern recognition system, to perform large-scale visual pattern recognition, such as font recognition or facial recognition, based on a learned error-bounded tree of visual patterns. | 03-05-2015 |
20150071557 | SPATIAL ORGANIZATION OF IMAGES BASED ON EMOTION FACE CLOUDS - A collection of photos is organized by arranging a limited number of clusters of the photos on a predefined topology, so that similar photos are placed in the same cluster or a nearby cluster. Similarity is measured in attribute space. The attributes may include automatically recognized facial expression attributes. | 03-12-2015 |
20150104108 | DATA PROCESSOR AND COMPUTER-READABLE NON-VOLATILE RECORDING MEDIUM FOR STORING PROGRAM FOR DATA PROCESSING - Provided is a data processor for generating three-dimensional image data from two-dimensional original image data, the three-dimensional image data including depth value, the apparatus comprising: a first clustering processor for dividing the two-dimensional original image data into a first plurality of clusters based on brightness; a three-dimensional data generating unit for setting a predetermined direction as a brighter-to-darker direction, and for generating information, as first depth information, such that depth value for a first cluster among the plurality of clusters is set to be larger than depth value for a second cluster which neighbors the first cluster and is located nearer to a starting point of the brighter-to-darker direction than the first cluster where the brightness of the first cluster is darker than the brightness of the second cluster. | 04-16-2015 |
20150110407 | METHOD AND APPARATUS FOR AUTOMATICALLY IDENTIFYING A REPRESENTATIVE IMAGE FOR AN IMAGE GROUP - A computer implemented method and apparatus for automatically identifying a representative image for an image group. The method comprises dividing an image group into one or more clusters based on an average time gap of the image group, wherein the images in the image group are in sequential timestamp order wherein the average time gap is calculated using a time span calculated from the timestamp of a first image in the image group to the timestamp of a last image in the image group; recursively dividing a largest cluster in the one or more clusters to determine a resultant cluster, wherein the resultant cluster comprises no time gaps larger than the average time gap of the resultant cluster; and identifying a representative image from the resultant cluster as an image representative for the image group. | 04-23-2015 |
20150139559 | SYSTEM AND METHOD FOR SHAPE CLUSTERING USING HIERARCHICAL CHARACTER CLASSIFIERS - A system and method of processing an image of a document using an optical character recognition process is disclosed. In one example, the method comprises acts of extracting, by a computer system, a plurality of recognizable units from the document, extracting, by the computer system, a plurality of features from the plurality of recognizable units, separating, by the computer system, the plurality of recognizable units, based on the plurality of extracted features into a plurality of fragments having at least one fragment type, determining a distance metric between the plurality of recognizable units, based on the plurality of extracted features, and classifying, by the computer system, the plurality of recognizable units into a plurality of clusters based on the distance metric, each cluster including a set of recognizable units associated with a shape classification. | 05-21-2015 |
20150331932 | TECHNIQUES FOR GENERATING A CLUSTERED REPRESENTATION OF A NETWORK BASED ON NODE DATA - An apparatus includes a communications component to receive a specified variable and one or more specified criteria to select a final clustered representation of a network, the specified criteria including a maximum degree of loss of information for the specified variable for the final clustered representation; and an iterative collapse component to perform iteration(s) of deriving the final clustered representation. Each iteration includes calculating the degree of loss from each possible combination of two linked nodes of a current clustered representation to generate a next clustered representation; selecting the possible combination associated with a smallest degree of loss; determining whether to cease iterations based on whether the smallest degree associated with the selected combination exceeds the maximum degree; effecting the selected combination if the smallest degree doesn't exceed the maximum degree; and selecting the current clustered representation as the final clustered representation if the smallest degree exceeds the maximum degree. | 11-19-2015 |
20160019438 | PRESENTATION AND ORGANIZATION OF CONTENT - Embodiments are provided for organization and presentation of content. In some embodiments, a plurality of images and a plurality of similarity rules for image categorization are received. For each image in the plurality of images, that image and each remaining image from the plurality is compared by: applying each similarity rule to the image and a remaining image from the plurality to obtain a numeric result, and recording the numeric result for the pair of images in a numeric representation, the numeric representation embodying similarities. The numeric representation is used as a reference for clustering the plurality of images into clusters of similar images, and each image is stored with a marker denoting a cluster to which it has been assigned. | 01-21-2016 |
20160026896 | PRESENTATION AND ORGANIZATION OF CONTENT - Embodiments are provided for organization and presentation of content. In some embodiments, a plurality of images and a plurality of similarity rules for image categorization are received. For each image in the plurality of images, that image and each remaining image from the plurality is compared by: applying each similarity rule to the image and a remaining image from the plurality to obtain a numeric result, and recording the numeric result for the pair of images in a numeric representation, the numeric representation embodying similarities. The numeric representation is used as a reference for clustering the plurality of images into clusters of similar images, and each image is stored with a marker denoting a cluster to which it has been assigned. | 01-28-2016 |
20160034785 | GENERATING COMPOSITIONS - Implementations generally relate to generating compositional media content. In some implementations, a method includes receiving a plurality of photos from a user, and determining one or more composition types from the photos. The method also includes generating compositions from the selected photos based on the one or more determined composition types. The method also includes providing the one or more generated compositions to the user. | 02-04-2016 |
20160070962 | Selecting and Presenting Representative Frames for Video Previews - A computer-implemented method for selecting representative frames for videos is provided. The method includes receiving a video and identifying a set of features for each of the frames of the video. The features including frame-based features and semantic features. The semantic features identifying likelihoods of semantic concepts being present as content in the frames of the video. A set of video segments for the video is subsequently generated. Each video segment includes a chronological subset of frames from the video and each frame is associated with at least one of the semantic features. The method generates a score for each frame of the subset of frames for each video segment based at least on the semantic features, and selecting a representative frame for each video segment based on the scores of the frames in the video segment. The representative frame represents and summarizes the video segment. | 03-10-2016 |
20160070982 | SUPERPIXEL GENERATION WITH IMPROVED SPATIAL COHERENCY - A method for generating superpixels for an image comprising pixels and an apparatus configured to perform the method. A clustering stage clusters the pixels into initial clusters. A determination stage then selects spatially coherent parts of the clusters and determines unconnected fragments of the clusters. Pixels of these unconnected fragments are iteratively assigned to adjacent clusters by an assignment stage using a contour evolution process. | 03-10-2016 |
20160379089 | METHOD, APPARATUS, COMPUTER PROGRAM AND SYSTEM FOR IMAGE ANALYSIS - Examples of the present disclosure relate to a method, apparatus, computer program and system for image analysis. According to certain examples, there is provided method comprising causing, at least in part, actions that result in: receiving orientation information of an image capturing device; receiving one or more features detected from an image captured by the image capturing device; and selecting a clustering model for clustering the features, wherein the clustering model is selected, at least in part, in dependence upon the orientation information. | 12-29-2016 |
20180025253 | IDENTIFICATION OF UNCOMMON OBJECTS IN CONTAINERS | 01-25-2018 |