Abstract: A representation of a user can move with respect to a graphical user interface based on input of a user. The graphical user interface comprises a central region and interaction elements disposed outside of the central region. The interaction elements are not shown until the representation of the user is aligned with the central region. A gesture of the user is recognized, and, based on the recognized gesture, the display of the graphical user interface is altered and an application control is outputted.

Abstract: A system and a method for training an inference model using a computing device. The method includes: providing a text-to-vector converter; providing the inference model and pre-training the inference model using labeled fashion entries; providing non-labeled fashion entries; separating each of the non-labeled fashion entries into a target image and target text; converting the target text into a category vector and an attribute vector using the text-to-vector converter; processing the target image using the inference model to obtain processed target image and target image label; comparing the category vector to the target image label; when the category vector matches the target image label, updating the target image label based on the category vector and the attribute vector to obtain updated label; and retraining the inference model using the processed target image and the updated label.

Abstract: The present disclosure relates to a method for performing simultaneous localization and mapping (SLAM) with respect to a salient object in an image, a robot and a cloud server for implementing such method. According to an embodiment of the present disclosure, a robot includes a camera sensor configured to capture one or more images for the robot to perform the SLAM with respect to a salient object for estimating a location of the robot within the space, a map storage configured to store the information for the robot to perform the SLAM, and a controller that is configured to: detect an object from the captured image; select, as a specific salient object for identifying the space, the detected object verified as corresponding to the specific salient object; and store, in the map storage, the selected specific salient object and coordinate information related to the selected specific salient object.

Abstract: According to the present invention, there is provided an information processing apparatus (10) including: an obtainment unit (12) which obtains a reference image; an extraction unit (13) which extracts, from a storage unit (11) which stores a provision image generated by a plurality of provision-image generation cameras installed in a facility, the provision image including a person included in the reference image; and a display control unit (14) which causes a display to display the provision image extracted by the extraction unit (13).

Abstract: Examples disclosed herein relate to an autonomous driving system in an vehicle. The autonomous driving system includes a radar system configured to detect a target in a path and a surrounding environment of the vehicle and produce radar data with a first resolution that is gathered over a continuous field of view on the detected target. The system includes a super-resolution network configured to receive the radar data with the first resolution and produce radar data with a second resolution different from the first resolution using first neural networks. The system also includes a target identification module configured to receive the radar data with the second resolution and to identify the detected target from the radar data with the second resolution using second neural networks. Other examples disclosed herein include a method of operating the radar system in the autonomous driving system of the vehicle.

Abstract: According to the present invention, there is provided an information processing apparatus (10) including: an obtainment unit (12) which obtains a reference image; an extraction unit (13) which extracts, from a storage unit (11) which stores a provision image generated by a plurality of provision-image generation cameras installed in a facility, the provision image including a person included in the reference image; and a display control unit (14) which causes a display to display the provision image extracted by the extraction unit (13).

Abstract: A user device transmit a natural language query with a request for a description of videos stored in a media repository. A query system receives the query and determines a command associated with obtaining the requested description of the videos stored in the media repository requested by the query. The determined command corresponds to an image analysis to perform on at least a portion of the stored videos. The query system determines, based at least in part on the determined command, an artificial intelligence model to execute on at least the portion of the stored videos. The query system determines, by executing the determined artificial intelligence model, a model output that includes the requested description of the videos stored in the media repository. The query system provides a response to the query. The response includes the requested description of the videos stored in the media repository.

Abstract: A DBMS training subsystem trains a DBMS workload-manager model with training data identifying resources used to execute previous DBMS data-access requests. The subsystem integrates each request's high-level features and compile-time operations into a vector and clusters similar vectors into templates. The requests are divided into workloads each represented by a training histogram that describes the distribution of templates associated with the workload and identifies the total amounts and types of resources consumed when executing the entire workload.

Abstract: In particular embodiments, a data processing consent management system may be configured to utilize one or more age verification techniques to at least partially authenticate the data subject's ability to provide valid consent (e.g., under one or more prevailing legal requirements) in order to collect, store, and or process the subject's personal data. For example, according to one or more particular legal or industry requirements, an individual (e.g., data subject) may need to be at least a particular age (e.g., an age of majority, an adult, over 18, over 21, over 13, or any other suitable age) in order to provide valid consent. Data processing systems may generate and store one or more consent records memorializing valid consent for data processing from data subjects in response to confirming that the data subject is old enough to provide such consent.

Abstract: Techniques for scanning physical media on physical items and providing information about those physical items are provided. In one technique, based on a printed medium of a physical item, a mobile device generates digital scan data that reflects multiple individual items that are referenced on the printed medium. The mobile device sends, over a computer network, to a remote server, the digital scan data or data that identifies individual items. The remote server determines a toxicity metric for each individual item. The remote server generates, based solely on each toxicity metric, a safeness rating of the physical item. Rating data is generated based on the safeness rating and presented on a screen of the mobile device in association with data that identifies the physical item.

Abstract: A goods receipt management system includes processors coupled to a non-transitory storage device and operable to execute routines that include a face recognition engine to use facial features of a user to recognize the user as an authorised person, a dialogue manager engine to obtain from the authorised person a stated number of goods items being delivered, a quantification engine to receive an image of the goods items and calculate the number of goods items appearing in the image, a comparison engine to compare the calculated number of goods items with the stated number of goods items, and in the event of a substantial match, to record the calculated number of goods items, and a performance improvement engine to use the image of the goods items to re-tune configuration variables, in the event of a mis-match between calculated number of goods items and stated number of goods items.

Abstract: Various aspects of the subject technology relate to systems, methods, and machine-readable media for searching and presenting undiscovered images. A system may receive a first user input specifying a search query for content from a client device. The system may initiate an image search in response to receiving the search query. The system may provide a first search result comprising a first list of images to the client device. The system may receive a second user input selecting an image from the first search result from the client device. The system may provide a second search result comprising a second list of images to the client device, based on the second user input, a similarity index, and a filtering criteria.

Abstract: Disclosed are techniques for providing additional information for text in an image. In some implementations, a computing device receives an image including text. Optical character recognition (OCR) is performed on the image to produce recognized text. A word or a phrase is selected from the recognized text for providing additional information. One or more potential meanings of the selected word or phrase are determined. One of the potential meanings is selected based on other text in the image. A source of additional information corresponding to the selected meaning is selected for providing the additional information to a user's device.

Abstract: Mechanisms are provided, in a Question and Answer (QA) system, for identifying a related previously processed question. A first question is processed by the QA system to generate an answer to the first question and a supporting evidence passage that supports the answer to the first question being a correct answer to the first question. The QA system performs a lookup operation in a question repository based on an identifier of the supporting evidence passage to identify an entry corresponding to a previously processed question, different than the first question, that previously had an answer generated based on the supporting evidence passage. The QA system returns the previously processed question and the answer to the first question to a submitter of the first question.

Abstract: A system, method and computer readable medium for indexing streaming data. Data may be received from distributed devices connected via a network. Data elements may be stored and allocated to data blocks and events of the block stores. Non-text data may be converted into a text representation. The data may be split into terms, and term frequencies of each term within each of the event may be calculated. Block-level term frequency statics may be calculated based on the term frequencies. Tree index structures, such as the Y-tree index, may be generated based on the block-level term frequency data. The Y-tree index structures may use the terms as keys and pointers to the corresponding data blocks and block-level term frequency data. A search query may be performed over the tree index structures.

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 method for fingerprinting a video involving identifying motion within the video and using a measure of the identified motion as a fingerprint. Once videos are fingerprinted, these fingerprints can be used in a method for identifying video. This involves creating a motion fingerprint for unidentified videos; comparing the fingerprints of the known and unknown videos, and identifying whether the unknown video is a copy of the known video based on the step of comparing.

Abstract: In one embodiment, receiving, from a user of a social network, an image with embedded metadata; and suggesting, to the user, information to be associated with the image based on the embedded metadata.

Abstract: A method for fingerprinting a video involving identifying motion within the video and using a measure of the identified motion as a fingerprint. Once videos are fingerprinted, these fingerprints can be used in a method for identifying video. This involves creating a motion fingerprint for unidentified videos; comparing the fingerprints of the known and unknown videos, and identifying whether the unknown video is a copy of the known video based on the step of comparing.

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: 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: According to one embodiment, an electronic apparatus includes a text recognition module, a group creation module, a group extraction module, an arrangement module, and a movie generator. The text recognition module recognizes a character string in a plurality of still images. The group creation module creates a plurality of groups by classifying the plurality of still images. The group extraction module extracts, from the plurality of groups, groups including a still image which meets a predetermined condition. The arrangement module arranges still images included in the extracted groups in a predetermined order, and inserts a still image included in the extracted groups and including the character string at a predetermined position of the still images which are arranged. The movie generator generates movie data for successively displaying the arranged still images in the extracted groups.

Abstract: Method for organizing a set of images into subsets of images, the method including the following procedures producing a respective model according to a plurality of feature points and the geometric relations between the feature points for each of the images, determining a similarity index between each pair of the images, according to the respective model of each image of the pair of the images, producing a distance matrix, according to the similarity index between each pair of the images, producing a set of coordinates, according to the distance matrix and sorting the images in plurality of dimensions, according to the set of coordinates.

Abstract: A system and method are provided for determining a dynamic relation tree based on images in an image collection. An example system includes a memory for storing computer executable instructions, and a processing unit for accessing the memory and executing the computer executable instructions. The computer executable instructions include an event classifier to classify main characters of images in an image collection as to an event identification based on events in which the main characters appear, wherein each main character is characterized as to at least one attribute; a relation determination engine to determine relation circles of the main characters; and a construction engine to construct a dynamic relation tree representative of relations among the main characters, where the dynamic relation tree provides representations of the positions of the main characters in the relation circles, and where views of the dynamic relation tree change when different time periods are specified.

Abstract: A method, devices and an internet service is disclosed for carrying out an improved search. Audio features formed from audio data are associated with the image data. The audio features are formed by applying a transform to the audio data, for example to form mel-frequency cepstral coefficients from the audio data. A search criterion for the audio features is specified in addition to a search criterion for the image data. A search is carried out to find image data, and the search criterion for the audio features is used in the search.

Abstract: This patent discloses a system to compile a landmark image search result. The system may determine a rank of each image within a visual cluster according to at least one of a low-level self-similarity score, a low-level discriminative modeling score, and a point wise linking score. The landmark image search result may be compiled as a function of the rank of each image.

Abstract: The method is for using a virtual face. The virtual face is provided on a screen associated with a computer system having a cursor. A user manipulates the virtual face with the cursor to show a facial expression. The computer system determines coordinates of the facial expression. The computer system searches for facial expression coordinates in a database to match the coordinates. A word or phrase is identified that is associated with the identified facial expression coordinates. The screen displays the word to the user. The user may also feed a word to the computer system that displays the facial expression associated with the word.

Abstract: A database management program, a database management apparatus and a database management method can determine the sameness of shape data at high speed.

Abstract: A person-based digital photo clustering method, medium, and apparatus and a person-based digital photo albuming method, medium, and apparatus. The clustering method may include detecting a face area from photo data, extracting predetermined content-based face feature value information from the detected face area, obtaining person-based photo clustering hint information, and performing person-based clustering by applying photo clustering hint information to the extracted content-based face feature value information.

Abstract: Systems and methods are described that facilitate presenting estimated toner consumption for a print job to a user. A print job is identified from a print job queue or by a job ticket, and is analyzed to identify print job parameters such as rendering mode, resolution, pages in the job, etc. A user may adjust rendering resolution and/or a job sub-setting such as a page cycle value or multiple thereof (e.g., where every Nth page of the job is the same or similar). Raster image processing is performed on the print job (with or without printing the job) to generate rasters, and a lookup table is accessed to identify an amount of toner required for each page given the rasters generated therefor at the given resolution in the given rendering mode. Toner cost estimation information is summarized in a report that is presented to the user (e.g., on a GUI, a printed page, or via electronic transfer).

Abstract: An image processing system and method receives one or more digital images in the form of image data, including selected object data of a digital image, and determines, by an electronic recognition process, if a recognition match is available between the selected object data of the digital image and image object library data associated with image descriptor library data. An automated library user interface presents selectable matched object descriptor data associated with the image descriptor library data when a recognition match occurs between the selected object data of the digital image and the image descriptor library data. In response, the automated library user interface provides user feedback data to confirm that the image descriptor library data corresponds with the selected object data of the digital image, or entered descriptor data if no match or an incorrect match occurs, to create library descriptor associated image data.

Abstract: A technique for building a virtual-world (VW) object based on a real-world (RW) object description includes receiving, at a VW toolshed, a message to create a new VW object. In this case, the message uniquely identifies RW object description data that is to be accessed by an RW object management application. VW object description data that is associated with the RW object description data is then requested from the RW object management application. An instance of the new VW object is then created utilizing a VW root object included in an inventory of the VW toolshed. The inventory of the VW toolshed also includes one or more textures, one or more sounds, and one or more scripts. The instance of the new VW object then executes a script to establish a communication path between the new VW object and the VW toolshed. The VW object description data is then provided on an item-by-item basis from the VW toolshed to the new VW object.

Abstract: A method of representing an object appearing in a still or video image, by processing signals corresponding to the image, comprises deriving a curvature scale space (CSS) representation of the object outline by smoothing the object outline, deriving at least one additional parameter reflecting the shape or mass distribution of a smoothed version of the original curve, and associating the CSS representation and the additional parameter as a shape descriptor of the object.

Abstract: In a system for providing an illegal use research service for image data, the image data received from a terminal apparatus is registered as a research subject, a research condition for research whether or not the image data being registered is illegally used by a Web site on the network is set, image data that are identical or similar to the image data being the research subject from a web site on the network are searched for based on a feature amount and the research condition, and a search result is informed as a research report to the research client using said terminal apparatus.

Abstract: A job history managing system which is capable of efficiently narrowing down a corresponding job, even if image information has been leaked, and eliminating variation in search results to realize the search result with a high accuracy. The job history managing system has a client PC 11 as a job outputting apparatus.

Abstract: A method includes deriving a plurality of semantic categories for representing important semantic cues in images, where each semantic category is modeled through a combination of perceptual features that define the semantics of that category and that discriminate that category from other categories; for each semantic category, forming a set of the perceptual features comprising required features and frequently occurring features; comparing an image to said semantic categories; and classifying said image as belonging to one of said semantic categories if all of the required features and at least one of the frequently occurring features for that semantic category are present in said image. A database contains image information, where the image information includes at least one of already classified images, network locations of already classified images and documents containing already classified images. The database is searched for images matching an input query, including, e.g., an image, text, or both.

Abstract: Robust classification methods analyse magnetic resonance spectroscopy (MRS) data (spectra) of fine needle aspirates taken from breast tumours. The resultant data when compared with the histopathology and clinical criteria provide computerized classification-based diagnosis and prognosis with a very high degree of accuracy and reliability. Diagnostic correlation performed between the spectra and standard synoptic pathology findings contain detail regarding the pathology (malignant versus benign), vascular invasion by the primary cancer and lymph node involvement of the excised axillary lymph nodes. The classification strategy consisted of three stages: pre-processing of MR magnitude spectra to identify optimal spectral regions, cross-validated Linear Discriminant Analysis, and classification aggregation via Computerised Consensus Diagnosis. Malignant tissue was distinguished from benign lesions with an overall accuracy of 93%.

Abstract: An online computer system enables users to identify and contact, if they so desire, users with similar attributes. The primary method of matching identity matches facial and at least one other physical, astrological, or other defined attribute. This matching is done by computer comparison of the photographs and other data provided by the users. The users may be provided with information to contact any matches.

Abstract: An image retrieval apparatus retrieving an image may include metadata selecting means for selecting metadata that concerns the image and that belongs to any of a plurality of categories in response to an operation by a user, image retrieving means for retrieving the image on the basis of the metadata selected across the plurality of categories, and display controlling means for controlling display of the retrieved image.

Abstract: When an image of a subject including a retrieval-source printout (1) is acquired by a digital camera (10), the digital camera (10) extracts a region corresponding to the retrieval-source printout (1) from the acquired image data, extracts a feature value of the extracted region, accesses a storage (20) in which a database capable of retrieval of image data on the basis of the feature value is constructed, and retrieves original image data of the retrieval-source printout (1) from the database on the basis of the extracted feature value.