Abstract: Embodiments relate to a method for supporting X-ray image reading including receiving information associated with a reading target positioned in a reading space where X-rays pass through or are reflected off, acquiring a non X-RAY image of an item object based on the information associated with the reading target, and generating a fake X-RAY image of the item object by applying the non X-RAY image of the item object to the image transform model, and a system for performing the same.

Abstract: A cloud-based migration system exposes a source-independent application programming interface for receiving data to be migrated. The data is uploaded and stored as a single entity in a cloud-based storage system. A migration system then accesses the migration package and begins migrating the data to its destination, from the cloud-based storage system.

Abstract: Methods and apparatus for vision based dating recommendations which analyze face photographs in a members database and recommends potential dating partners. A user selects faces the user finds attractive or unattractive from an objectively diverse group of member photographs. Member faces are mapped and compared with defining data extracted from the attractive and unattractive face selections made by the user to present to the user a ranking of photographs from most to least attractive. The user may continue to select attractive and unattractive face photographs allowing for a more refined and accurate ranking of faces attractive to the particular user. The ranked face data may be combined with narrative compatibility data to present to the user members the user is most likely to find compatible as well as attractive.

Abstract: An image classification system trains an image classification model to classify images relative to text appearing with the images. Training images are iteratively selected and classified by the image classification model according to feature vectors of the training images. An independent model is trained for unique n-grams of text. The image classification system obtains text appearing with an image and parses the text into candidate labels for the image. The image classification system determines whether an image classification model has been trained for the candidate labels. When an image classification model corresponding to a candidate label has been trained, the image classification subsystem classifies the image relative to the candidate label. The image is labeled based on candidate labels for which the image is classified as a positive image.

Abstract: A system, method, and computer-readable medium are disclosed for automating the management of a device description repository (DDR). A device properties detection script embedded in a web page is executed when the web page is processed by a browser. Upon execution, the embedded script determines various properties associated with the user's device, which are then provided along with the device's user-agent identifier for processing. In turn, the provided user-agent identifier is used to search a predetermined DDR for a matching user-agent identifier. If a matching user-agent identifier is not found, then the provided user-agent identifier and its corresponding device properties are stored in the DDR. The device properties associated with the user-agent identifier are then used to initiate the provision of device-optimized images to the browser.

Abstract: A system described herein includes a receiver component that receives a first image and a symmetry signature generator component that generates a first global symmetry signature for the image, wherein the global symmetry signature is representative of symmetry existent in the first image. The system also includes a comparer component that compares the first global symmetry signature with a second global symmetry signature that corresponds to a second image, wherein the second global symmetry signature is representative of symmetry existent in the second image. The system additionally includes an output component that outputs an indication of similarity between the first image and the second image based at least in part upon the comparison undertaken by the comparer component.

Abstract: A method and system for full text search (FTS) using a navigation system is disclosed. The FTS system generates vectors for documents that are stored in a database. The vectors are formed by converting data token pairs to binary or hexadecimal strings. The FTS system may generate and store vectors in a multi-dimensional index (e.g., an R-Tree) for each document stored in the database. The FTS system may receive two or more search terms inputted by a user and generate one or more vectors based on the inputted search terms. The FTS system may then use the generated vectors to query the multi-dimensional index.

Abstract: A method and system are provided that analyze a first digital asset to identify a set of attributes of the first digital asset. Search criteria are then formulated, and a search is conducted. Once search results are obtained, at least one second digital asset that is substantially identical to the first digital asset is identified. Then, metadata between the first digital asset and the second digital asset is shared.

Abstract: Systems and methods are disclosed that provide a flexible file capable of storing rich content. A flexible file may include a section object, one or more tile objects stored within the section object, and one or more clip objects associated with each tile object. A clip objects may store a content item. Alternatively a clip object may store one or more references to a content item, the content item being stored externally to the flexible file. The disclosed flexible file allows an application to adjust the atomicity based upon the needs of a user or application.

Abstract: Methods, systems, and apparatus, including computer program products, for identifying images relevant to a query are disclosed. An image search subsystem selects images to reference in image search results that are responsive to a query based on an image relevance model that is trained for the query. An independent image relevance model is trained for each unique query that is identified by the image search subsystem. The image relevance models can be applied to images to order image search results obtained for the query. Each relevance model is trained based on content feature values of images that are identified as being relevant to the query (e.g., frequently selected from the image search results) and images that are identified as being relevant to another unique query. The trained model is applied to the content feature values of all known images to generate an image relevance score that can be used to order search results for the query.

Abstract: Displays are generated on screens of computer interfaces that facilitate viewing search results in context. Each image returned as a search result is visually presented to a user with additional context images from the same digital media object from which the search result image is taken. If the media object is a slide presentation, the additional context images can include immediately preceding and succeeding slides or other slides in the presentation.

Abstract: A graph database is described. The graph database includes one or more symbolic data stores and one or more key-value data stores. Each symbolic data store is configured to symbolically store sets of multiple hyper-graph nodes. Each key-value data store is configured to store attribute information for hyper-graph nodes and hyper-graph edges.

Abstract: An image classification system trains an image classification model to classify images relative to text appearing with the images. Training images are iteratively selected and classified by the image classification model according to feature vectors of the training images. An independent model is trained for unique n-grams of text. The image classification system obtains text appearing with an image and parses the text into candidate labels for the image. The image classification system determines whether an image classification model has been trained for the candidate labels. When an image classification model corresponding to a candidate label has been trained, the image classification subsystem classifies the image relative to the candidate label. The image is labeled based on candidate labels for which the image is classified as a positive image.

Abstract: An image retrieval apparatus includes a designation unit configured to designate a query area of an image based on a user's designation operation, a display unit configured to display an area where a local feature amount is difficult to be extracted in the query area designated by the designation unit as a feature non-extractable area, and a retrieval unit configured to retrieve, based on a local feature amount extracted from an area which is not displayed as the feature non-extractable area in the query area by the display unit, image feature data with which a local feature amount and the image are associated and which is stored in a storage device.

Abstract: Systems and methods for image retrieval include constructing a plurality of graphs including a first graph for candidate images retrieved based upon holistic features of a query image and a second graph for candidate images retrieved based upon local features of the query image, wherein constructing includes weighting connected images based upon a Jaccard similarity coefficient. The plurality of graphs are fused to provide a fused graph. Candidate images of the fused graph are ranked, using a processor, to provide retrieval results of the query image.

Abstract: Systems for and methods of utilizing a neuroimaging database are presented. The systems and methods include techniques for analyzing the pathophysiological basis of a chronic brain disease and/or the effectiveness of a treatment for a chronic brain disease, obtaining data for research of a chronic brain disease, searching for chronic brain disease symptoms identified in a clinical patient, searching a database by comparing the brain scan images of patients with suspected indications of chronic brain disease with other patients in the database to identify sets of patients with similar indications in their brain scan images, displaying brain scan information regarding a person, and using image pattern matching to analyze the pathophysiological basis of a chronic brain disease and/or the effectiveness of a proposed or previously administered treatment for a chronic brain disease.

Abstract: Methods and apparatus for processing collections of images are described in which metadata from a set of images may be used in directing a multi-image processing workflow. One or more output images may be rendered from a set of input images, with each output image being some combination of two or more of the input images. To render an output image, a workflow including one or more processing steps may be applied to the images. Metadata may be used in directing and performing the workflow. For example, metadata may be used in determining a particular workflow for a set of images. As another example, metadata may be used to sort a collection of images into multiple categories for automated workflow processing. As yet another example, metadata may be used to retrieve information stored in a profile database that may be used in processing the images.

Abstract: An information registration device includes an object information acquiring unit and a content information registering unit. The object information acquiring unit acquires object information obtained by performing processing for detecting and identifying an object for image data. The content information registering unit registers target content information in a database in association with the object information.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for previewing search results. In one aspect, a method includes receiving a query from a client device. One or more image search results are provided to the client device, each of the one or more image search results identifying a corresponding image resource and each of the one or more image search results including an image representation of the corresponding image resource. One or more related queries are provided to the client device, the one or more related queries having been determined to be related to the query, wherein each of the one or more related queries includes a preview image to be displayed at the client device, the preview image representing an image search result responsive to the related query.

Abstract: In various example embodiments, a system and method for onboarding a collection of items is provided. In example embodiments, image data containing images of a plurality of items from a client device is received. The image data is parsed to distinguish an item of the plurality of items. The item is then identified. In some embodiments, the item is identified by determining at least one catalog item that matches an identifying feature of the item, providing a verification request indicating the at least one catalog item, and receiving a verification response confirming the identity of the item. An inventory list is compiled by including the identified item in the inventory list.

Abstract: Search techniques are described. In one or more implementations, a search service receives a search query from a user. A query context is formed for the user based on a history of content consumption that is verified for the user. A plurality of search results are generated that reference different types of content that correspond to the search query, respectively. The plurality of search results are ordered for output in a user interface according to the different types of content based at least in part on the query context.

Abstract: An approach is provided for querying media based on media characteristics. A media platform processes and/or facilitates a processing of one or more images, one or more videos, or a combination thereof to determine one or more latent vectors associated with the one or more images, the one or more videos, or the combination thereof. The media platform further causes, at least in part, a comparison of the one or more latent vectors to one or more models. The media platform also causes, at least in part, an indexing of the one or more images, the one or more videos, or the combination thereof based, at least in part, on the one or more latent vectors, the one or more models, or a combination thereof.

Abstract: Structures and protocols are presented for facilitating a search partly based on a movement status of a search-capable device or on a position of a person's limb or on an association with another search-capable device.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for processing image endorsements. In one aspect, a method includes receiving a search query from a user device of a user that belongs to a social affinity group; receiving image search results responsive to the search query, each image search result referencing a corresponding image resource and including a representative image of the image resource; identifying representative images of the image search results that each have an endorsement association with one or more of the users identified by the social affinity group; generating annotation data describing the endorsement association with at least one of the users identified by the social affinity group; and providing the annotation data to a user device for presentation with the representative image.

Abstract: An apparatus and method for searching and displaying using cognitive pattern recognition including searching for document(s) with at least one search text, wherein each search text is associated with a highlight option; selecting to enable or disable the highlight option for each of the search text; displaying a progressive relationship of the document(s) in scaled common image format (CIF) by displaying: a first display presenting the document(s), wherein each of the document(s) includes all of the search text; a second display presenting only pages from the document(s) where the only pages presented include one or more of the search text with its associated highlight option enabled; and a third display presenting one page from the only pages wherein all occurrences of the search text where the highlight option for the search text is enabled are displayed simultaneously on the page.

Abstract: A system and method for retrieving objects stored on a storage medium, the method comprises receiving a request from a first client for a first object; populating a queue with the request for the first object; retrieving the first object from the storage medium; and sending the object to the first client.

Abstract: A method of distributing media content includes capturing an image of a static media content, detecting at least one feature in the image, seeking a correlation of the image to a reference image using the at least one feature, and identifying at least one region of dynamic media content of the reference image in the image of the static media content.

Abstract: An apparatus and method for searching and displaying using cognitive pattern recognition including searching at least one document for at least one search text, wherein the at least one search text is associated with a highlight option; selecting to enable or to disable the highlight option; presenting a quantity of the at least one document in a scaled common image format (CIF); and displaying a selected amount of pages in the scaled common image format (CIF), wherein the at least one search text is shown according to whether the highlight option is enabled or disabled.

Abstract: Systems, methods, and computer-readable storage media for web-scale visual search capable of using a combination of visual input modalities are provided. An edgel index is created that includes shape-descriptors, including edgel-based representations, that correspond to each of a plurality of images. Each edgel-based representation includes pixels that depicts edges or boundary contours of an image and is created, at least in part, by segmenting the image into a plurality of image segments and performing a multi-phase contour detection on each segment.

Abstract: Methods and systems for using a demand metric for disambiguating a keyword entered from a client machine, the keyword identifying a product brand and ambiguously identifying a product category of the product brand; computing the dominant product category that indicates the probable identity of the product category; and providing signals representing selectable images of aspects of the dominant product category for rendering at the client machine.

Abstract: An electronic computing device includes a database in which for multiple objects, data combining a first property value and a second property value representative of properties of images of each of the objects is accumulated by respectively changing the first property value and the second property value by given values; an acquirer that acquires image data; and an application processor that searches the database, extracts from the acquired first image data, a combination of the first property value and the second property value, and searches the database based on the extracted combination.

Abstract: A method and apparatus are defined for organizing a plurality of digital photos. The method comprises the steps of identifying a group of digital photos, receiving a number defining how many clusters to be formed from the group, receiving profile information to be used for clustering the digital photos into the number of clusters, clustering the group of digital photos according to the profile information, and identifying representative digital photo(s) of the clusters from the clustered digital photos based on the profile information.

Abstract: The information processing apparatus includes: a search unit configured to search an application, which satisfies a condition; a data share unit configured to output location information; and a computer controlled to function as: a first request control unit that requests with a first condition; a first reception unit that receives first application information, satisfying the first condition; a second request control unit that requests with a second condition; a second reception unit that receives second application information satisfying the second condition; a display control unit that displays options to receive an operation of selecting any one of the application indicated by the first application information and the second application information; and an output unit that designates a selected application corresponding to the selected options and outputs location information.

Abstract: Methods, apparatus, and computer-readable storage media for object retrieval and localization that employ a spatially-constrained similarity model. A spatially-constrained similarity measure may be evaluated by a voting-based scoring technique. Object retrieval and localization may thus be achieved without post-processing. The spatially-constrained similarity measure may handle object rotation, scaling and view point change. The similarity measure can be efficiently calculated by the voting-based method and integrated with inverted files. The voting-based scoring technique may simultaneously retrieve and localize a query object in a collection of images such as an image database. The object retrieval and localization technique may, for example, be implemented with a k-nearest neighbor (k-NN) re-ranking method in or as a retrieval method, system or module. The k-NN re-ranking method may be applied to improve query results of the object retrieval and localization technique.

Abstract: In one exemplary embodiment, a set of attributes derived from an element of a first digital document is obtained. The element is identified from eye-tracking data of a user viewing the digital document. A search query of a database comprising at least one query term is received. A set of documents in the database is identified according to the search query. An attribute score is determined for each document. The set of documents are sorted according to the attribute score. Optionally, a commonality between the query term and at least one member of the set of attributes may be determined. The search query may be generated by the user. The database may be a hypermedia database.

Abstract: There are provided an information providing device, an information providing processing program, and an information providing method which can efficiently recommend information related to a shooting spot matching a user's preference. The information providing device is configured to search for image data based on object information specified by a user with respect to a frame, and an arrangement of the object information.

Abstract: An image search engine server having an image search engine that performs image searches based on a search term that is augmented by a built-in thesaurus and/or a dictionary. For a thesaurus-based algorithm, the approach is to send a query back to the user, who can select the image search domain, sub-domain, and other hierarchical search refinements from one or more dropdown menus. The items in the dropdown menus that the user selects during the “query back” are used to augment the search string entered by the user to better refine the image search. If the user entered search string is a single string of dictionary word or words or the dictionary mode is elected, then synonyms for that search string are used to generate the augmented search string for the final context-based search operation. The result is improved image search results.

Abstract: A method of compiling an image database for a three-dimensional object recognition including the steps of: when a plurality of images each showing an object from different viewpoint are inputted, extracting local features from each of the images, and expressing the local features using feature vectors; forming sets of the feature vectors, each set representing a same part of the object from a series of the viewpoints, and generating subspaces, each subspace representing a characteristic of each set; and storing each subspace to the image database with an identifier of the object to perform a recognition process that is realized by the steps of: when at least one image of an object is given as a query, extracting query feature vectors; determining the subspace most similar to each query feature vector; and executing a counting process to the identifiers to retrieve an object most similar to the query.

Abstract: Methods and device are disclosed for data retrieval. At first images and reports are analyzed by respective parser units to detect both structures and text passages that are related to respective structures and text passages of a knowledge database. The detected structures and text passages are stored together with a unique resource located that identifies the respective structure and/or text passage at the knowledge database in a semantic annotation database. In addition a feature extraction can be performed to provide specific features of the images and/or regions of the images, whereby the features are stored in an image feature database. Finally an input query can ask questions that are used to provide a result to the query based on the semantic annotation database and the image feature database. The methods and devices may be used for data preparation and data retrieval of medical images and associated medical reports.

Abstract: The present invention relates to a system for storing and managing a comment on content in a social community, and enabling another user to retrieve content or a comment. In particular, the present invention may generate image comments for target content from users of a social community, and summarize the generated imaged comments.

Abstract: The invention, the Image Viewer system, represents a new way to store and access medical images such as scans and X-rays. The invention is comprised of the web portal design, including the web browser layout, and the software application. A patient's medical images, created during an imaging session, are stored at a central location, a web portal, by medical personnel who catalog and code the images using the software application or a web browser. The images stored at the portal can be accessed by any networked device with a web browser or the software application from any connection to the Internet. The connection to the Internet can be wired or wireless, such as WiFi or cellular. Networked devices include PCs, tablets, laptops and smart phones. Physicians with a network device can retrieve images and enter data in the web portal, including diagnoses and personal information. Patients with a networked device can access the portal to download images or to enter their personal profile.

Abstract: Systems and methods are provided for providing a user with efficient and effective intelligent control of media assets distributed to the user's media devices. The user may control distributed media assets by sending captured images to the media delivery system. Features identified in the captured images are used to select media assets that are likely to be of interest to the user. The selected relevant media assets are distributed to one or more media devices for presentation to the user. The distributed media assets may be intelligently selected from the media assets available through the user's primary media delivery system, or may be supplementary media assets not available through the user's primary media delivery system.

Abstract: A method and system are provided that can automatically discover related images and recommend them. It uses images that occur on the same page or are taken by the same photographer for image discovery. The system can also use semantic relatedness for filtering images. Sentiment analysis can also be used for image ranking and photographer ranking.

Abstract: A method and apparatus for processing metadata of an image are disclosed. The metadata is associated with the image and an applet views the metadata in response to selection of the image. The metadata may include links to websites, audio files, video files, and text files, as well as image capture information including GPS location, time and date of capture, camera settings, etc. In response to selection of the image, or in response to arriving at a website pointed to by a URL in the metadata, a list of information materials associated with the image may be displayed. One or more of the information materials may be automatically activated.

Abstract: A request may be received that includes an indicator associated with a geographic location and scope. A database search may be initiated, based on the geographic location and scope. A list of one or more tags may be received, the tags associated with the geographic location, ordered based on relevance within the geographic scope, based on tag locale rankings associated with each of the tags included in the list of tags, the tag locale rankings based on comparisons of relative frequencies of occurrence of the tags, based on first bounded geographic areas, compared with second relative frequencies of occurrence of the tags based on second bounded geographic areas that are respectively larger than the first bounded geographic areas, the request geographic scope indicating one of a plurality of hierarchical geographic analysis levels associated with a plurality of geographic locations.

Abstract: A method of data fusion and providing information in a computer system regarding the performance of work tasks on a technical product is provided. Product information on the technical product from a product information database, image information from an image information database and work process information from a work process database are assembled in the computer system to form a data set of a fused process instruction. This data set is processed to form a combined display file that is sent to a display unit, whereupon the fused process instruction is displayed in an optically visible manner.

Abstract: A method, system, and computer-readable medium for searching for items in a set of items using a similarity model. These search techniques may be used in an online purchasing system. Receiving orders for items may comprise receiving input from a user indicating a request for a first item in the set of items, picking a first plurality of items from the set of items based on the first item and a similarity model, presenting the first plurality of items to the user, and receiving a request from the user for a second item in the first plurality of items. The similarity model may represent similarity between items in the set of items and may be used to select a subset of items to quickly to lead to identification of an item of interest.

Abstract: Techniques describe analyzing users and groups of a social network to identify user interests and providing recommendations for a user based on the user's identified interests. A content-awareness application obtains a collection of images and tags associated with the images belonging to members in the social network. The content-awareness application decomposes the members into a representative matrix to identify users and groups in order to calculate a similarity matrix between the users and their images based on a visual content of the images and a textual content of the tags. The content-awareness application further constructs a graph Laplacian over the users and the groups to align with the representative matrix based at least in part on the similarity matrix and further provides recommendations of groups for a user to join in the social network based at least in part on the graph Laplacian identifying the user's interests.

Abstract: A method, system, and computer-readable storage medium for computing a representation of similarity among items in a set of items. Computing a representation of similarity items may comprise generating a first similarity model that represents characteristics of the set of items, the characteristics being indicative of similarity among the items in the set of items. Additionally, computing the representation of similarity may comprise adaptively selecting a subset of the set of items for similarity evaluation based on the first similarity model, receiving a similarity evaluation for the adaptively-selected subset of items, and generating a second similarity model based on the first to similarity model and the received similarity evaluation.

Abstract: This application provides to a method for identifying one or more prostate tissue samples in a database that are closest to a test prostate sample, which can be used to aid pathologists when examining prostate tissues to attain reliable and consistent diagnoses of prostate cancer. Also provided are databases and computer algorithms that can be used with such methods.