Patent application number | Description | Published |
20080284791 | FORMING COLORING BOOKS FROM DIGITAL IMAGES - Embodiments herein include a method, service, apparatus, etc., that automatically generates a coloring book image that includes line drawings defining a small number of color coherent, clearly discriminated, closed regions while preserving the basic semantic properties of the original image. These regions hence can be filled in with colored inks, crayons, paints, etc. The method inputs a color image that can be a photograph, scanned image, etc. The method begins by transforming the color image into a chrominance-luminance space and then performs low pass filtering on the color image that preserves the chrominance edges of the features within the color image. Next, the method segments the color image into the features based on locations of the chrominance edges of the features. Then, the method can merge selected features into other features. After performing any merging, the method identifies the remaining chrominance edges of the features within the image and adds lines along the remaining chrominance edges to form outlines of the features. Then, the method automatically filters out all other data from the image to leave only the outlines and produce a revised image consisting of just the outlines. The revised image of just outlines is then output to the user. | 11-20-2008 |
20080317358 | CLASS-BASED IMAGE ENHANCEMENT SYSTEM - A method for image enhancement includes providing for a semantic class to be assigned to a digital image based on image content, the assigned semantic class being selected from a plurality of semantic classes. The method further includes providing for an aesthetic enhancement to be applied to the image based on image quality of the image and the assigned semantic class, the enhancement including at least one enhancement dimension selected from a plurality of enhancement dimensions. | 12-25-2008 |
20090208118 | CONTEXT DEPENDENT INTELLIGENT THUMBNAIL IMAGES - An apparatus and method are disclosed for context dependent cropping of a source image. The method includes identifying a context for the source image, identifying a visual class corresponding to the identified context from a set of visual classes, applying a class model to the source image to identify a candidate region of the image based on its relevance to the visual class, and identifying a subpart of the source image for cropping, based on the location of the candidate region. | 08-20-2009 |
20100040285 | SYSTEM AND METHOD FOR OBJECT CLASS LOCALIZATION AND SEMANTIC CLASS BASED IMAGE SEGMENTATION - An automated image processing system and method are provided for class-based segmentation of a digital image. The method includes extracting a plurality of patches of an input image. For each patch, at least one feature is extracted. The feature may be a high level feature which is derived from the application of a generative model to a representation of low level feature(s) of the patch. For each patch, and for at least one object class from a set of object classes, a relevance score for the patch, based on the at least one feature, is computed. For at least some or all of the pixels of the image, a relevance score for the at least one object class based on the patch scores is computed. An object class is assigned to each of the pixels based on the computed relevance score for the at least one object class, allowing the image to be segmented and the segments labeled, based on object class. | 02-18-2010 |
20100210358 | MODIFICATION OF IMAGES FROM A USER'S ALBUM FOR SPOT-THE-DIFFERENCES - A computer implemented system and method for generating a game, such as spot-the-difference are provided. The method includes receiving a user-selected original image and storing the image in memory. From the original image, the method includes automatically generating a pair of images which are visually identical except for a predetermined number of random localized modifications, and providing the pair of images to the user as a game which can be played by spotting differences between the pair of images as a result of the modifications. | 08-19-2010 |
20100226564 | FRAMEWORK FOR IMAGE THUMBNAILING BASED ON VISUAL SIMILARITY - An apparatus and method for detecting a region of interest in an image are disclosed. Image representations for a set of images that have been manually annotated with regions of interest are stored, along with positive and negative representations of each image which are similarly derived to the image representations except that they are based on features extracted from patches within the region of interest and outside it, respectively. For an original image for which a region of interest is desired, the stored information for K similar images is automatically retrieved and used to train a classifier. The trained classifier provides, for each patch of the original image, a probability of being in a region of interest, based extracted features of the patch (represented, for example, as a Fisher vector), which can be used to determine a region of interest in the original image. | 09-09-2010 |
20110052063 | CONSISTENT HIERARCHICAL LABELING OF IMAGE AND IMAGE REGIONS - Classification of image regions comprises: recursively partitioning an image into a tree of image regions having the image as a tree root and at least one image patch in each leaf image region of the tree, the tree having nodes defined by the image regions and edges defined by pairs of nodes connected by edges of the tree; assigning unary classification potentials to nodes of the tree; assigning pairwise classification potentials to edges of the tree; and labeling the image regions of the tree of image regions based on optimizing an objective function comprising an aggregation of the unary classification potentials and the pairwise classification potentials. | 03-03-2011 |
20110184950 | SYSTEM FOR CREATIVE IMAGE NAVIGATION AND EXPLORATION - A system and method for assisting a user in navigation of an image dataset are disclosed. The method includes receiving a user's text query, retrieving images responsive to the query from an image dataset, providing for receiving the user's selection of a first feature selected from a set of available first features via a graphical user interface, providing for receiving the user's selection of a second feature selected from a set of available second features different from the first features via the graphical user interface, and displaying at least some of the retrieved images on the graphical user interface. The displayed images are arranged, e.g., grouped, according to levels and/or combinations of levels of the user-selected first and second features. | 07-28-2011 |
20120158739 | SYSTEM AND METHOD FOR MULTIMEDIA INFORMATION RETRIEVAL - A system and method for information retrieval are disclosed. The method includes querying a multimedia collection with a first component of a multimedia query (e.g., a text-based part of the query) to generate first comparison measures between the first component of the query and respective objects in the collection for a first media type (e.g., text). The multimedia collection is queried with a second component of the multimedia query (e.g., an image-based part of the query) to generate second comparison measures between the second component of the query and respective objects in the collection for a second media type (e.g., visual). An aggregated score for each of a set of objects in the collection is computed, based on the first comparison measure and the second comparison measure for the object. This includes applying an aggregating function to the first and second comparison measures in which a first confidence weighting is applied to the first comparison measure and a second confidence weighting is applied to the second comparison measure. The first confidence weighting is independent of the second comparison measure. The second confidence weighting is dependent on the first comparison measure. Information based on the aggregated scores is output. | 06-21-2012 |
20120163710 | IMAGE RANKING BASED ON ABSTRACT CONCEPTS - A system and method for ranking images are provided. The method includes receiving a query comprising a semantic part and an abstract part, retrieving a set of images responsive to the semantic part of the query, and computing first scores for the retrieved images in the set of retrieved images. The first score of an image can be based on a relevance of that image to the semantic part of the query (and not to the abstract part of the query). The method further includes identifying a chromatic concept model from a set of chromatic concept models. This identification can be based on the abstract part of the query (and not on the semantic part of the query). The chromatic concept model includes an optionally-weighted set of colors expressed in a perceptually uniform color space. For retrieved images in the set of retrieved images, the method includes computing a chromatic image model based on colors of the image, the chromatic image model comprising a weighted set of colors expressed in the perceptually uniform color space and computing a comparison measure between the chromatic image model and the chromatic concept model. The retrieved images are scored with respective second scores that are based on the computed comparison measures. The retrieved images are ranked based on a combined score for a respective retrieved image which is a function of the first and second scores. | 06-28-2012 |
20120166472 | SYSTEM AND METHOD FOR COLLABORATIVE GRAPHICAL SEARCHING WITH TANGIBLE QUERY OBJECTS ON A MULTI-TOUCH TABLE - A system and a method are disclosed for developing a query. The system includes a display device for displaying elements, such as images, textures, color palettes, ad textual elements, which are selectable as query elements for forming a query. A physical space is provided on the display in which a physical object can be positioned. At least one physical object is positioned in the physical space, which is recognized by the system as having an identifier stored in memory to which a query can be linked. A sensor is provided for detecting a physical manipulation of the physical object in the physical space which represents absorbing a query element into a query. A query generator generates a query based on the absorbed query element. The query is thus associated in memory with the identifier for the recognized object. In this way, several physical objects can be manipulated on the display device, each one corresponding to a respective, single query. | 06-28-2012 |
20120254790 | DIRECT, FEATURE-BASED AND MULTI-TOUCH DYNAMIC SEARCH AND MANIPULATION OF IMAGE SETS - A system and method for manipulating graphic objects on a tactile user interface are provided. The graphic objects can be photographic images which are retrieved in response to a query and are clustered, based on values of first and second user-selected features assigned to the graphic objects. A navigation map is displayed on the user interface. The navigation map represents the clusters of graphic objects in first and second dimensions, corresponding to the first and second features. A user can manipulate a target window displayed on the navigation map using the tactile user interface. The target window encompasses a subset of the clustered graphic objects. A synchronized display of graphic objects in the subset of graphic objects on the user interface corresponds to the subset of clustered graphic objects within the displayed target window. | 10-04-2012 |
20120269425 | PREDICTING THE AESTHETIC VALUE OF AN IMAGE - A system and method for determining the aesthetic quality of an image are disclosed. The method includes extracting a set of local features from the image, such as gradient and/or color features and generating an image representation which describes the distribution of the local features. A classifier system is used for determining an aesthetic quality of the image based on the computed image representation. | 10-25-2012 |
20120269436 | LEARNING STRUCTURED PREDICTION MODELS FOR INTERACTIVE IMAGE LABELING - A system and a method are provided for labeling images and for generating an annotation system. The labeling method includes providing a graphical structure, such as a tree structure, which graphically represents predictive correlations between labels in a set of labels. The predictive correlations can, for example, estimate the likelihood, in a training set, that knowing one label has a given value, another label will have a given value. An image to be labeled is received. Feature-based predictions for values of labels in the set of labels are computed for the image. A value for at least one label for the image from the set of labels is computed based on the feature-based label predictions and inference on the structured prediction model. | 10-25-2012 |
20130084007 | GRAPH-BASED SEGMENTATION INTEGRATING VISIBLE AND NIR INFORMATION - A method for segmenting an image includes extracting unary potentials for pixels of the input image. These can be based for each of a set of possible labels, on information for a first channel in the image, such as in the visible range of the spectrum. Pairwise potentials are extracted for neighboring pairs of pixels of the image. These can be based on information for a second channel in the image, such as in the infrared range of the spectrum. An objective function is optimized over pixels of the input image to identify labels for the pixels. The objective function is based on a combination of ones of the extracted unary and pairwise potentials. The image is then segmented, based on the identified pixel labels. The method and system can provide an improvement in segmentation over methods which use only the visible information. | 04-04-2013 |
20130282687 | SYSTEM AND METHOD FOR MULTIMEDIA INFORMATION RETRIEVAL - A method for information retrieval includes querying a multimedia collection with a first component of a multimedia query to generate first comparison measures between the first component of the query and respective objects in the collection for a first media type. The collection is queried with a second component of the multimedia query to generate second comparison measures between the second component of the query and respective objects in the collection for a second media type. An aggregated score for each of a set of objects in the collection is computed by applying an aggregating function in which a first confidence weighting is applied to the first comparison measure and a second confidence weighting is applied to the second comparison measure. The first confidence weighting is independent of the second comparison measure. The second confidence weighting is dependent on the first comparison measure. | 10-24-2013 |
20140029839 | METRIC LEARNING FOR NEAREST CLASS MEAN CLASSIFIERS - A classification system and method enable improvements to classification with nearest class mean classifiers by computing a comparison measure between a multidimensional representation of a new sample and a respective multidimensional class representation embedded into a space of lower dimensionality than that of the multidimensional representations. The embedding is performed with a projection that has been learned on labeled samples to optimize classification with respect to multidimensional class representations for classes which may be the same or different from those used subsequently for classification. Each multidimensional class representation is computed as a function of a set of multidimensional representations of labeled samples, each labeled with the respective class. A class is assigned to the new sample based on the computed comparison measures. | 01-30-2014 |
20140037198 | Image Segmentation Using Hierarchical Unsupervised Segmentation and Hierarchical Classifiers - An image segmentation method includes generating a hierarchy of regions by unsupervised segmentation of an input image. Each region is described with a respective region feature vector representative of the region. Hierarchical structures are identified, each including a parent region and its respective child regions in the hierarchy. Each hierarchical structure is described with a respective hierarchical feature vector that is based on the region feature vectors of the respective parent and child regions. The hierarchical structures are classified according to a set of predefined classes with a hierarchical classifier component that is trained with hierarchical feature vectors of hierarchical structures of training images. The training images have semantic regions labeled according to the set of predefined classes. The input image is segmented into a plurality of semantic regions based on the classification of the hierarchical structures and optionally also on classification of the individual regions. | 02-06-2014 |
20140132976 | METHOD AND SYSTEM FOR MANAGING PRINT JOBS - A method and system for managing print jobs is disclosed. A received print job is compared with pending print jobs and executed print jobs, wherein the pending print jobs and the executed print jobs are stored in one or more print queues associated with one or more printing systems. Thereafter, one or more pending print jobs are suspended if the one or more pending print jobs are found similar to the received print job based on the comparison; or the received print job is suspended if the received print job is found similar to one or more of the executed print jobs, based on the comparison. | 05-15-2014 |
20140350961 | TARGETED SUMMARIZATION OF MEDICAL DATA BASED ON IMPLICIT QUERIES - A system and method for targeted summarization of a patient's electronic medical records are provided. The system includes an aggregation component which provides an aggregation of health records of a patient. A transformation component transforms the health records of the patient into representations in a multidimensional search space. A search component generates an implicit query in the multidimensional search space and retrieves responsive heath records based on the implicit query. A summarization component generates a summary based on the retrieved responsive health records for display to a healthcare provider on an associated user interface. A processor implements the aggregation component, transformation component, search component, and summarization component. | 11-27-2014 |
20150046119 | VEHICLE CLASSIFICATION FROM LASER SCANNERS USING FISHER AND PROFILE SIGNATURES - Methods, systems and processor-readable media for vehicle classification. In general, one or more vehicles can be scanned utilizing a laser scanner to compile data indicative of an optical profile of the vehicle(s). The optical profile associated with the vehicle(s) is then pre-processed. Particular features are extracted from the optical profile following pre-processing of the optical profile. The vehicle(s) can be then classified based on the particular features extracted from the optical feature. A segmented laser profile is treated as an image and profile features that integrate the signal in one of the two directions of the image and Fisher vectors which aggregate statistics of local “patches” of the image are computed and utilized as part of the extraction and classification process. | 02-12-2015 |