Patent application number | Description | Published |
20080278744 | Print job aesthetics enhancements detection and modeling through combined user activity analysis and content matching - An automated method for processing a print job includes receiving a submitted print job, extracting features from the submitted print job for characterizing the print job, comparing the extracted features with a predictive model which is based on features extracted from prior print jobs and enhancement operations performed on the prior print jobs, and generating at least one proposed enhancement operation for the submitted print job based on the comparison. The proposed enhancement operations may be presented to an operator for verification or, if the enhancement operations are determined to have a threshold level of confidence, may be automatically applied to the print job. | 11-13-2008 |
20090232409 | AUTOMATIC GENERATION OF A PHOTO GUIDE - An apparatus, method and an image quality guide document are disclosed. The method includes, for at least one image in a set of images undergoing image enhancement, identifying image quality-related features for the image based on enhancements being applied to the image, identifying image content-related features based on content of the image, determining a content-based degradation of the image based on the identified image quality-related features and image content-related features, and generating a thumbnail of the image. The method further includes generating an image quality guide document for the set of images in which at least one of the thumbnails is associated with a respective text description that is based on the determined content-based degradation. | 09-17-2009 |
20090290794 | IMAGE VISUALIZATION THROUGH CONTENT-BASED INSETS - A method and a system for forming an inset image are disclosed. The method includes identifying a region of interest in an original image. An inset is generated, based on the region of interest. A region of low interest is identified in the original image. The inset is applied to the region of low interest to form an inset image. The region of interest is scaled differently from the inset in the inset image. The method can proceed automatically or substantially automatically, without the need for significant user input. | 11-26-2009 |
20090290807 | METHOD FOR AUTOMATIC ENHANCEMENT OF IMAGES CONTAINING SNOW - A content-based image processing method and system are provided for images identified as having snow content. Images having dark snow content are identified and processed with a first enhancement chain tailored to enhancing images which would be generally perceived as having dark snow while images having blue snow content are identified and processed with a second enhancement chain tailored to enhancing images which would be generally perceived as having blue snow. | 11-26-2009 |
20100014776 | SYSTEM AND METHOD FOR AUTOMATIC ENHANCEMENT OF SEASCAPE IMAGES - A content-based image processing system and method are disclosed. The method includes automatically identifying whether an original image is a seascape. For an image which is identified as being a seascape, the method includes automatically assigning an enhancement class for the image, selected from a plurality of enhancement classes, the classes comprising a first enhancement class for sea landscape images and a second enhancement class for portrait images. The image is processed to generate an enhanced image. Where the image is assigned to the first enhancement class, this includes applying a first enhancement chain, which may include applying a polarizing filter. Where the image is assigned to the second enhancement class, the processing includes applying a second enhancement chain, which may include detecting regions corresponding to skin in the image and selectively applying local contrast enhancement to those regions corresponding to skin. | 01-21-2010 |
20100091330 | IMAGE SUMMARIZATION BY A LEARNING APPROACH - An automated system and a method for extracting a region of interest from a digital image are disclosed. The method includes identifying a subset of training images from a larger set of training images, each training image in the set having a respective identified region of interest. The subset is identified based on a measure of similarity between the digital image and the images in the set of training images. At least one region of interest is extracted from the digital image based on an analysis of the identified regions of interest in the subset of training images. | 04-15-2010 |
20100092085 | CONTENT-BASED IMAGE HARMONIZATION - A harmonization system and method are disclosed which allow harmonization of a set of digital images. The images are automatically segmented into foreground and background regions and the foreground and background regions are separately harmonized. This allows region-appropriate harmonization techniques to be applied. The segmenting and harmonizing may be category dependent, allowing object-specific techniques to be applied. | 04-15-2010 |
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 |
20100281361 | AUTOMATED METHOD FOR ALIGNMENT OF DOCUMENT OBJECTS - An apparatus and automated method are disclosed for alignment of objects in a document which allows saliency within one or both objects to be a factor in the alignment. The method includes, for an input electronic document, identifying first and second objects to be aligned on a page of the document. A one dimensional guideline profile is generated for at least the first object based on a detection of saliency for the first object. The first and second objects are aligned based on the guideline profile to form a modified document and the modified document is output. | 11-04-2010 |
20110087675 | METHOD FOR VISUAL ASSET REPLACEMENT ACCOUNTING FOR COST, COPYRIGHT, AND CONFIDENTIALITY REQUIREMENTS - Systems and methods of replacing digital assets within a multimedia document are provided. The systems and methods include a user workstation that can receive a selection from a user for an original asset in the document to be replaced. Alternative assets can be retrieved that have a level of appropriateness with the selected original asset. Constraints on use of the alternative assets can be determined and a fitness value of each of the alternative assets can be calculated based on the appropriateness and the constraints on use. The alternative assets with the highest fitness values can be presented to the user for the user to select to replace the original asset. | 04-14-2011 |
20110135195 | SYSTEM AND METHOD FOR CLASSIFICATION AND SELECTION OF COLOR PALETTES - A system and method for categorizing color palettes are provided. A taxonomy for a particular type of achromatic entity, such as emotions, is generated and populated with a list of terms. Natural language terms extracted from annotated color palettes are associated with the corresponding achromatic entity categories in the taxonomy. Features are extracted from the color palettes. The features, together with the category information, are used to train a classifier which is then able to assign achromatic entities to palettes outside the training set, based on extracted features. | 06-09-2011 |
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 |
20110276872 | DYNAMIC FONT REPLACEMENT - Automated font mapping is performed for one or more document fonts of a document to map the one or more document fonts to at least one replacement font. The font mapping is limited by at least one document-specific font mapping limitation. The document is rendered using the at least one replacement font. The automated font mapping may include performing a constrained optimization of an objective function measuring similarity of the one or more document fonts and the corresponding mapped at least one replacement font, the constrained optimization being constrained by at least one constraint embodying at least one document-specific font mapping limitation. The automated font mapping may include selecting a subset of the set of fonts available for the rendering based on the at least one document-specific font mapping limitation, and performing the optimization respective to the selected subset of the set of fonts available for the rendering. | 11-10-2011 |
20120075329 | SYSTEM AND METHOD FOR IMAGE COLOR TRANSFER BASED ON TARGET CONCEPTS - A system and method for color transfer are provided. The method includes retrieving a concept color palette from computer memory corresponding to a concept selected by a user. The concept color palette includes a first set of colors, which may be statistically representative of colors of a set of predefined color palettes which have been associated with the concept. The method further includes computing an image color palette for an input image. The image color palette includes a second set of colors that are representative of pixels of the input image. Colors of the image color palette are mapped to colors of the concept color palette to identify, for colors of the image color palette, a corresponding color in the concept color palette. A transformation is computed based on the mapping. For pixels of the input image, modified color values are computed, based on the computed transformation, to generate a modified image. | 03-29-2012 |
20120099784 | CHROMATIC MATCHING GAME - A system and method for image retrieval formulated as a game are disclosed. The method includes receiving a user's image category selection, retrieving an image responsive to the user's image category selection from an associated image database, and displaying the retrieved image and a set of candidate color palettes to the user. The set of candidate color palettes includes a correct palette and at least one incorrect palette. The method further includes providing for a user to attempt to identify the correct palette by selecting at least one of the displayed candidate color palettes and, with a computer processor, generating a score based on the user's at least one selection and outputting the score. | 04-26-2012 |
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 |
20120163715 | CONVEX CLUSTERING FOR CHROMATIC CONTENT MODELING - A system and method are provided for modeling a chromatic object, such as an image. For a set of colors of a chromatic object that are expressed as color values in a perceptual color space, the method includes optimizing a convex objective function which is a log likelihood function of a combination of weighted kernels centered on each color in the set over each of the other colors in the set. A number N | 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 |
20120269441 | IMAGE QUALITY ASSESSMENT - A computer-implemented system and method for predicting an image quality of an image are disclosed. For an input image, the method includes generating a first descriptor based on semantic content information for the image and generating a second descriptor based on aesthetic features extracted from the image. With a categorizer which has been trained to assign a quality value to an image based on first and second descriptors, a quality value is assigned to the image based on the first and second descriptors and output. | 10-25-2012 |
20120294514 | TECHNIQUES TO ENABLE AUTOMATED WORKFLOWS FOR THE CREATION OF USER-CUSTOMIZED PHOTOBOOKS - A system and method for generating a photobook are provided. The method includes receiving a set of images and automatically selecting a subset of the images as candidates for inclusion in a photobook. At least one design element of a design template for the photobook is automatically selected, based on information extracted from at least one of the images in the subset. Placeholders of the design template are automatically filled with images drawn from the subset to form at least one page of a multipage photobook. The exemplary system and method address some of the problems of photobook creation, thorough combining automatic methods for selecting, cropping, and placing photographs into a photo album template, which the user can then post-edit, if desired. This can greatly reduce the time required to create a photobook and thus encourage users to print photo albums. | 11-22-2012 |
20130108179 | PERSONALIZED PHOTO CALENDAR GENERATION SYSTEM AND METHOD | 05-02-2013 |
20130156341 | AUTOMATIC GENERATION OF A PHOTO GUIDE - An apparatus, method and an image quality guide document are disclosed. The method includes, for at least one image in a set of images undergoing image enhancement, identifying image quality-related features for the image based on enhancements being applied to the image, identifying image content-related features based on content of the image, determining a content-based degradation of the image based on the identified image quality-related features and image content-related features, and generating a thumbnail of the image. The method further includes generating an image quality guide document for the set of images in which at least one of the thumbnails is associated with a respective text description that is based on the determined content-based degradation. | 06-20-2013 |
20130315477 | IMAGE SELECTION BASED ON PHOTOGRAPHIC STYLE - A system and method are disclosed for image selection based on photographic style in which photographic style annotations are learned using a data-driven approach. The method includes assigning a style value for each of a set of photographic style categories to each of a set of database images with a trained classifier of a computing device. A user's selection of a subset of the photographic style categories, such as three style categories, is received. A user interface is generated for assigning values to each of the selected photographic style categories. A set of database images is identified, based on the assigned values for each of the selected photographic style categories and the style values for each of the selected photographic style categories of the database images. | 11-28-2013 |
20140099037 | METHOD AND SYSTEM FOR CREATING DIGITAL IMAGE ALBUM - The disclosed embodiments related to a method and system for creating a digital image album implementable on a computing device. The method includes grouping a plurality of digital images to generate a plurality of groups. Each of the plurality of groups is then transmitted to one or more crowdworkers for ranking each digital image of the plurality of groups. A final rank corresponding to each of the plurality of digital images is then determined based on the one or more ranks assigned by the one or more crowdworkers to each digital image of the plurality of groups. Thereafter, at least one digital image is selected from each of the plurality of groups based on the final rank of at least one digital image to create the digital image album. | 04-10-2014 |
20140198986 | SYSTEM AND METHOD FOR IMAGE SELECTION USING MULTIVARIATE TIME SERIES ANALYSIS - An image selection method includes receiving a collection of images and optionally, filtering the collection of images. The filtering may include removing images that are near-duplicates of other images in the collection. A plurality of features is extracted from each of the images in the optionally-filtered collection. The optionally-filtered collection of images is considered as a time-ordered sequence of images and is segmented to form a sequence of segments. Each segment includes at least one of the images. The segmenting of the sequence of images is based on the extracted features and positions of the images in the sequence of images. Images from the segments are selected to form a sub-collection of the images. | 07-17-2014 |
20140351264 | METHODS AND SYSTEMS FOR RANKING IMAGES USING SEMANTIC AND AESTHETIC MODELS - A method, a system, and a computer program product for extracting one or more images from a storage medium. A search model is selected based on the availability of a semantically related aesthetic model. A search model includes a generic aesthetic model if the semantically related aesthetic model for query is not available. A semantic score and an aesthetic score are computed based on the selected search model. The images are further ranked based on the semantic and aesthetic score. | 11-27-2014 |
20150026101 | IMAGE SEARCH SYSTEM AND METHOD FOR PERSONALIZED PHOTO APPLICATIONS USING SEMANTIC NETWORKS - A system and method for searching a finite collection of images using at least one semantic network. Upon receipt of a query from a user that includes a theme and one or more initial keywords, a set of keywords based on the theme and including the initial keywords is generated from one or more semantic networks corresponding to the theme and/or initial keywords. When the finite collection of images includes suitable metadata, a result set is generated of images corresponding to the expanded set of keywords. When the finite collection includes images lacking in metadata, a remote third-party image collection is searched with the set of keywords to obtain a result set that is used to train visual classifiers as to visual concepts associated with the keywords. The classifiers are used to classify the images in the finite collection lacking metadata and the search of the finite collection is performed with the set of keywords to generate a result set. | 01-22-2015 |
20150036940 | METHOD AND SYSTEM FOR CREATING A DIGITAL IMAGE ALBUM - The disclosed embodiments are related to a method and system for creating a digital image album implementable on a computing device. The method includes receiving a plurality of digital images. The method further includes creating a first signature corresponding to each of the plurality of digital images. The method further includes comparing the first signature corresponding to each of the plurality of digital images with one or more second signatures. Each of the second signatures corresponds to each of one or more prototype digital albums. The method further includes selecting one or more digital images from the plurality of digital images based on the comparison to create the digital image album. | 02-05-2015 |
20150055854 | LEARNING BEAUTIFUL AND UGLY VISUAL ATTRIBUTES - A method for learning visual attribute labels for images includes, from textual comments associated with a corpus of images, identifying a set of candidate textual labels that are predictive of aesthetic scores associated with images in the corpus. The candidate labels in the set are clustered into a plurality of visual attribute clusters based on similarity and each of the clusters assigned a visual attribute label. For each of the visual attribute labels, a classifier is trained using visual representations of images in the corpus and respective visual attribute labels. The visual attribute labels are evaluated, based on performance of the trained classifier. A subset of the visual attribute labels is retained, based on the evaluation. The visual attribute labels can be used in processes such as image retrieval, image labeling, and the like. | 02-26-2015 |