Abstract: In an aspect, a system for physiologically informed network searching, includes a computing device designed and configured to receive a biological extraction from a user, input the biological extraction to an index classifier, the index classifier configured to input biological extractions and output web search indices, wherein the classifier is generated by executing a classification algorithm clustering a plurality of user physiological data records to a plurality of user cohort labels, output, from the index classifier, a physiologically linked web index, receive, from the user, a search query, and generate, using the physiologically linked web index and the search query, a ranked search result.

Abstract: Embodiments relate to a system (100) comprising one or more processors (110) and one or more storage devices (120). The system (100) is configured to receive biology-related language-based search data (101) and generate a first high-dimensional representation of the biology-related language-based search data (101) by a trained language recognition ma-chine-learning algorithm executed by the one or more processors (110). The first high-dimensional representation comprises at least 3 entries each having a different value. Further, the system is configured to obtain a plurality of second high-dimensional representations (105) of a plurality of biology-related image-based input data sets or of a plurality of biology-related language-based input data sets and compare the first high-dimensional representation with each second high-dimensional representation of the plurality of second high-dimensional representations (105).

Abstract: A method for searching an image database, comprising receiving an adulterated image of an object, the adulterated image including object annotations for visual reference, applying a first neural network to the adulterated image, correlating a result of the applying the first neural network with each image of a reference database of images, the result including an edited image of the object and each image of the reference database of images including a reference object, and selecting, as a matching image, at least one image of the reference database of images having correlation values above a threshold correlation value. The method may include applying a masking to the adulterated image. The masking may include performing, via a second neural network, object recognition on the adulterated image, applying, based on the object recognition, computer vision to detect callout features relative to bounding boxes, and generating a contour mask of the object.

Abstract: A method for selecting important digital images in a collection of digital images, comprising: analyzing the digital images in the collection of digital images to identify one or more sets of similar digital images; identifying one or more sets of similar digital images having the largest number of similar digital images; selecting one or more digital images from the identified largest sets of similar digital images to be important digital images; and storing an indication of the selected important digital image in a processor accessible memory.

Abstract: Systems and methods are disclosed for implementing a data stream correlation user interface. The data stream correlation user interface enables users to view information from two sets of records, and identify fields in the two sets of records that can be matched together to “glue” together multiple records. For example, a user may specify that values in an “AcctID” field in one set of records can be matched to values in an “Account_ID” field of a second set of records. Additional identifying fields may be selected, such that multiple values can be chained together. The system can match the records of multiple sets together using designated fields, enabling users to view how many records from one set have a corresponding record in another set.

Abstract: The disclosure provides an image clustering method and an image clustering apparatus. The method includes: obtaining new images, and clustering the new images to obtain a first cluster; determining a historical cluster similar to the first cluster as a second cluster from existing historical clusters; obtaining a distance between the first cluster and the second cluster; and generating a target cluster by fusing the first cluster and the second cluster based on the distance. In the image clustering method, with the image clustering apparatus of the disclosure, secondary clustering processing performed on the existing historical clusters based on newly added images is not required, new and old clusters are directly fused.

Abstract: Implementations are described herein for analyzing existing graphical user interfaces (“GUIs”) to facilitate automatic interaction with those GUIs, e.g., by automated assistants or via other user interfaces, with minimal effort from the hosts of those GUIs. For example, in various implementations, a user intent to interact with a particular GUI may be determined based at least in part on a free-form natural language input. Based on the user intent, a target visual cue to be located in the GUI may be identified, and object recognition processing may be performed on a screenshot of the GUI to determine a location of a detected instance of the target visual cue in the screenshot. Based on the location of the detected instance of the target visual cue, an interactive element of the GUI may be identified and automatically populate with data determined from the user intent.

Abstract: The apparatus, systems and methods dynamically provide the reliability of multimedia documents by applying a series of intrinsic criteria and extrinsic criteria by pre-calculating a reliability score for at least a set of multimedia documents of at least one pre-selected source of multimedia documents, and by providing, in response to a request, the multimedia documents from the pre-selected sources associated with the score and the multimedia documents from the other sources associated with a score conditionally calculated.

Abstract: The subject matter of this specification generally relates to providing content related to text depicted in images. In one aspect, a system includes a data processing apparatus configured to extract text from an image. The extracted text is partitioned into multiple blocks. The multiple blocks are presented as respective first user-selectable targets on a user interface at a first zoom level. A user selection of a first block of the multiple blocks is detected. In response to detecting the user selection of the first block, portions of the extracted text in the first block are presented as respective second user-selectable targets on the user interface at a second zoom level greater than the first zoom level. In response to detecting a user selection of a portion of the extracted text within the first block, an action is initiated based on content of the user-selected text.

Abstract: A method, system and computer-usable medium for providing cognitive insights comprising receiving data from a plurality of data sources, the plurality of data sources comprising a blockchain data source, the blockchain data source providing blockchain data; processing the data from the plurality of data sources, the processing the data from the plurality of data sources performing data enriching to provide enriched data; generating the cognitive session graph, the cognitive session graph being associated with a session, the cognitive session graph comprising at least some enriched data; and, associating a cognitive blockchain with the cognitive session graph.

Abstract: An automatic clipping technique capable of satisfactorily extracting blood vessels to be extracted is provided. A specific tissue extraction mask image which is created by extracting a specific tissue (for example, a brain) from a three-dimensional image acquired by magnetic resonance angiography and a blood vessel extraction mask image which is created by extracting a blood vessel from an area (a blood vessel search area) which is determined using a preset landmark position and the specific tissue extraction mask image are integrated to create an integrated mask. By applying the integrated mask to the three-dimensional image, a blood vessel is clipped from the three-dimensional image.

Abstract: Disclosed are a method, a server and a computer-readable medium for recommending nodes of an interactive content, in which, when receiving recommendation request information for requesting a recommendation node for a specific node included in an interactive content from a user generating the interactive content, a first embedding value for a first set including the specific node is calculated, and a second embedding value for each second set including each of a plurality of nodes of each of one or more other interactive contents included in the service server is calculated, so as to calculate a similarity between the first embedding value and the second embedding value and provide the user with a next node, as a recommendation node, of a node corresponding to the second embedding value determined based on the similarity.

Abstract: A live video of a negotiable instrument may be provided to a financial institution so that an image of the negotiable instrument may be obtained from the live video, processed, and funds associated with the negotiable instrument may be deposited in an account of a user. The user may be identified and authenticated to the financial institution by one or more biometric characteristics. One or more biometric characteristics may be used to endorse the negotiable instrument. A holder may be used to hold the negotiable instrument while live video is being taken and provided from a user to a financial institution.

Abstract: System and method for updating customer data that includes a plurality of electronically stored contact records that each include contact information for a respective individual contact. Filtering is applied to the customer data to identify contacts that fall within defined filtering criteria. Information about the identified contacts is provided to a decision making authority for a further layer of filtering. Customer data is updated based on feedback derived from the decision making authority.

Abstract: The present disclosure proposes a method and an apparatus for recommending sample data. The method may include: inputting a plurality of pieces of sample data to be classified into at least one preset classification model, and acquiring a classifying probability of classifying each piece of sample data into each classification model; acquiring a first distance between each piece of sample data and a classifying boundary of each classification model according to the classifying probability of classifying the piece of sample data into the classification model, in which the classifying boundary of the classification model is configured to distinguish positive and negative sample data; computing a target distance for each piece of sample data according to the first distance between each piece of sample data and the classifying boundary of each classification model.

Abstract: A method for generating a quote for fabrication of a part to be fabricated includes receiving, from a customer device associated with a customer, a design request for a part to be fabricated by a fabrication process, the design request including a two-dimensional drawing file representing the part to be fabricated and descriptive information including a descriptive datum. The method includes extracting a first feature from the 2D drawing file, wherein the first feature represents a geometry of the part to be fabricated. The method includes extracting a second feature from the descriptive information, wherein the second feature represents the descriptive datum. The method includes generating, as a function of the first and second features, a quote for fabrication for the part to be fabricated, the quote for fabrication including a cost and time to fabricate the part to be fabricated and sending the quote for fabrication to the customer.

Abstract: Described is a system and method for enabling visual search for information. With each selection of an object included in an image, additional images that include visually similar objects are determined and presented to the user.

Abstract: Metadata for one or more highlights of a video stream may be extracted from one or more card images embedded in the video stream. The highlights may be segments of the video stream, such as a broadcast of a sporting event, that are of particular interest. According to one method, video frames of the video stream are stored. One or more information cards embedded in a decoded video frame may be detected by analyzing one or more predetermined video frame regions. Image segmentation, edge detection, and/or closed contour identification may then be performed on identified video frame region(s). Further processing may include obtaining a minimum rectangular perimeter area enclosing all remaining segments, which may then be further processed to determine precise boundaries of information card(s). The card image(s) may be analyzed to obtain metadata, which may be stored in association with at least one of the video frames.

Abstract: Systems and methods for identifying one or more master tables of a datalake are described. A system may obtain a plurality of computer readable tables of a datalake (with each computer readable table including one or more features). The system may also group the plurality of computer readable tables into a plurality of groups based on a number of features of each computer readable table of the plurality of computer readable tables. The system may further generate, for each of one or more groups of the plurality of groups, one or more neighborhoods based on a similarity of features between computer readable tables of the group. The system may also identify, for each neighborhood, one or more master tables from the one or more computer readable tables of the group. The system may further provide an indication of one or more master tables identified in the datalake.

Abstract: In the image processing device, the method and the recording medium according to the present invention, the characteristic information extractor extracts the number of times the same subject appears in the still images. The target object detector detects the target subject which appears the number of times not less than the threshold value. The image analysis condition determiner sets the image analysis condition for the portion of the moving image where the target subject is absent to be rougher than that where the target subject is present. The frame image analyzer extracts frame images from the moving image in accordance with the image analysis condition. The frame image output section calculates the evaluation value of the frame images based on the result of the image analysis and output the frame image having the evaluation value not less than the threshold value.

Abstract: A method of accessing a dataset to fulfil a query over an intended audience is provided. A user interface comprises input means for a user to select an intended audience dataset from a plurality of datasets which the user has permission to access. The user interface is configured to receive from the user a query defining an intended operation to be performed on entries of the intended audience dataset to generate the target audience. The query is received from the user and a supporting candidate dataset is selected. It is determined whether the selected supporting candidate dataset comprises entries which enhance the entries of the audience dataset for performing the intended operation. If so, the candidate dataset and the audience dataset are selected to contribute to performance of the operation. If not, a next candidate dataset is selected, and the determining step is repeated.

Abstract: A system for generating an image display comprising a digital camera for capturing digital images, a computer for automatically selecting a digital image template having a designated location for disposing one of the captured digital images, and the computer for selecting one of the captured digital images to be disposed therein, an electronic display for displaying the digital template with the captured digital image disposed in the designated location, and a transmission channel for transmitting to the electronic display the captured digital images.

Abstract: An image processing method implemented by a computer includes extracting feature points from captured images that are sequentially generated by an image capture device and include at least a first captured image and a second captured image generated prior to the first captured image, determining whether the number of feature points extracted from the first captured image exceeds a threshold value, and specifying a location of the first captured image relative to the second captured image upon determining that the number of the feature points extracted from the first captured image is below the threshold value.

Abstract: Multiple anchors may be utilized for robotic process automation (RPA) of a user interface (UI). The multiple anchors may be utilized to determine relationships between elements in the captured image of the UI for RPA. The results of the anchoring may be utilized for training or retraining of a machine learning (ML) component.

Abstract: Provided are a computer program product, system, and method for interpreting text classification predictions through deterministic extraction of prominent n-grams. A determination is made of n-gram vectors comprising word embeddings of n-grams in a document and of a document vector comprising word embeddings of the document. A label is received from the text classifier program, comprising a text classification of the document. A determination is made of a label vector comprising word embeddings of the label. The n-gram vectors, the document vector, and the label vector are used to determine n-grams that explain the text classification of the text classifier program.

Abstract: Provided are a training apparatus, an image recognition apparatus, a training method, and a program capable of improving the accuracy of image recognition of a photographic image using classifiers that have been trained using CG images. An intermediate feature identifying section identifies an intermediate feature. An offset feature identifying section identifies an offset feature on the basis of a CG intermediate feature and a photographic intermediate feature. A post-offset intermediate feature identifying section identifies a post-offset intermediate feature associated with a CG image on the basis of the intermediate feature associated with the CG image and the offset feature.

Abstract: A biometric database corroborator is disclosed. In one embodiment, a biometric digital representation receiver receives a biometric digital representation representative of an individual. A biometric information gatherer collects biometric data from a first biometric database and at least a second different biometric database. A biometric comparator compares the biometric digital representation representative of the individual with the biometric data gathered from the first biometric database and at least the second different biometric database, the biometric comparator utilizing a predefined match percentage threshold to determine a match. A result provider provides a result from the biometric comparator in a tangible user output.

Abstract: Techniques are disclosed for performing robust feature matching for visual search. An apparatus comprising an interface and a feature matching unit may implement these techniques. The interface receives a query feature descriptor. The feature matching unit then computes a distance between a query feature descriptor and reference feature descriptors and determines a first group of the computed distances and a second group of the computed distances in accordance with a clustering algorithm, where this second group of computed distances comprises two or more of the computed distances. The feature matching unit then determines whether the query feature descriptor matches one of the reference feature descriptors associated with a smallest one of the computed distances based on the determined first group and second group of the computed distances.

Abstract: An image evaluation apparatus is provided, which calculates a characteristic value indicating a state of appearance of objects corresponding to person a and person b appearing in image A and an object corresponding to person b appearing in image B. Subsequently, the image evaluation apparatus specifies person b? as the photographer of image B and calculates a likelihood degree indicating accuracy of the determination. Further, the image evaluation apparatus calculates an importance degree of each of images A and B according to the characteristic values of person a and person b appearing in image A and image B and the likelihood degree of the photographer of image B.

Abstract: A system for organizing a plurality of candidates based on the relative similarity of a first candidate with respect to the remaining plurality of candidates is disclosed. The system includes a controller in communication with a storage device configured to receive and accessibly store a generated plurality of candidate images. The controller operable to analyze each of the plurality of candidate images to determined a numeric thumbnail based on a number of identified features in each of a plurality of grid elements of an array and a sum total number of all identified features in the array, calculate a similarity score between one of the plurality of determined numeric thumbnails and each of the remaining plurality of determined numeric thumbnails; and generate a logical group image order as a function of the highest similarity score between the one of the plurality of determined numeric thumbnails and each of the remaining plurality of determined numeric thumbnails.

Abstract: A system and method for effectively implementing an electronic image manager device includes one or more input/output interfaces for bi-directionally communicating with various information sources to transfer content information that includes image data. The electronic image manager device also includes a memory device for archiving the content information, and an application program that manipulates the content information by performing various procedures such as downloading and uploading the content information, organizing and managing the content information, editing the content information, and displaying the content information.

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: When registering content in a data storage unit (101), a data registration unit (102) transmits, to another content management apparatus, metadata that is assigned to the content. The content management apparatus which has received the metadata returns related metadata that is related to the received metadata. An import determination unit (105) determines whether or not each of the metadata elements included in the returned related metadata is importable. The metadata elements which have been determined to be importable, within the related metadata, are added by a metadata editing unit 106 as a part of the metadata of the content that is to be registered.

Abstract: Disclosed herein are systems, methods, and software for facilitating gallery environments and views. In at least one implementation an initial view is presented of tagged items arranged in tag groups. The tag groups correspond to tags and the tagged items are arranged in the tag groups based on with which of the tags each of the tagged items is associated. One of the groups may be identified for enhanced viewing. Accordingly, tagged items associated with the identified group, by way of their association with a tag corresponding to the group, are identified. In some implementations they may be referred to as enhanced tagged items. An enhanced view may then be presented of at least the enhanced tagged items.

Abstract: Embodiments of the present invention provide for collaborative filtering during retrieval of a graph. In an embodiment of the invention, a method for collaborative filtering of a graph includes loading a data set from a repository of data and representing the data set in a graph of a plurality of arranged nodes and links therebetween. A primary node can be identified amongst the nodes of the graph a composite rating can be retrieved for different ones of the arranged nodes. In this regard, the composite rating for a corresponding one of the nodes can include an aggregation of different ratings previously applied to the corresponding one of the nodes by different end users. Finally, a subset of the arranged nodes can be selected based upon the identified primary node and a composite rating of one or more other nodes.

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: An apparatus and method for generating additional information about moving picture content, including: comparing image feature information about each image frame in moving picture content with image feature information about each image frame in web information, searching for an image frame in the moving picture content, the image frame matching the image frame in the web information, determining location information about the found image frame in the moving picture content, and generating additional information by use of the determined location information and the web information.

Abstract: Technologies are described herein for presenting and navigating content having varying properties. One or more local or networked providers are searched for content objects. Content objects include associated metadata and may be stored within a content container. Each content object is displayed separately from its associated content container. Displayed content objects may be grouped and filtered based upon the associated metadata. Displayed content objects may also be grouped and filtered based upon the provider from which they were retrieved. Selection of a content object causes the content container associated with the selected content object to be displayed. Alternately, selection of a content object may cause a preview of the selected content object and the metadata associated with the selected content object to be displayed.

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: Systems and methods for presenting and/or browsing images on a digital content platform. In one embodiment, for example, there is provided an image-browsing system, including: (1) a database having a plurality of images; (2) an image frame provided on the digital content platform, wherein the image frame displays a first image from the database; and (3) a user-actionable interface, wherein activation of the interface replaces the first image within the frame with a second image. Various alternative aspects and embodiments are further described herein. For example, in certain instances, such systems and methods may be used to browse images on a digital content platform (e.g., a web page), conduct image searches directly from an image frame within a digital content platform, and/or provide contextually relevant advertising on the digital content platform.

Abstract: Search queries for images are received from users. An original order of responsive images to the query is determined. Duplicate images and words associated with the duplicate images are identified for each of the responsive images. Common words associated with the duplicate images are identified. The responsive images are annotated with the common words and an annotated order is determined. A re-ranked order is determined based on the original order and the annotated order. Responsive images are presented to the user in the re-ranked order.

Abstract: Content-based information retrieval is described. In an example, a query item such as an image, document, email or other item is presented and items with similar content are retrieved from a database of items. In an example, each time a query is presented, a classifier is formed based on that query and using a training set of items. For example, the classifier is formed in real-time and is formed in such a way that a limit on the proportion of the items in the database that will be retrieved is set. In an embodiment, the query item is analyzed to identify tokens in that item and subsets of those tokens are selected to form the classifier. For example, the subsets of tokens are combined using Boolean operators in a manner which is efficient for searching on particular types of database.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for receiving image data corresponding to an image, processing the image data to identify one or more features within the image, generating one or more keywords based on each of the one or more features, transmitting the one or more keywords to a computing device for displaying a list of the one or more keywords to a user, receiving text, the text comprising at least one keyword of the one or more keywords, that at least one keyword having been selected by the user from the list, and transmitting the image and the text for display, the text being associated with the image.

Abstract: A method, system and apparatus is provided for identifying pharmaceutical products. A database of known pharmaceuticals is provided with links to virtual 3D models of each pharmaceutical. When a pill needs to be identified, an image of the pill is transmitted to the database CPU. The CPU screens out non-matching records and obtains perspective data. based on the orientation of the pill. The CPU manipulates a 3D model into the same perspective as the pill to facilitate identification.

Abstract: A method for encoding a descriptor of multimedia content, in which the descriptor includes a plurality of components describing respective parts of the multimedia content comprises processing the descriptor to determine a priority of the plurality of components, and encoding the components of the descriptor based on the determined priority. A method of decoding the descriptor comprises decoding a predetermined number of the plurality of components, by decoding each of the components in the priority order. Advantageously, the encoding and decoding techniques enable fast, scalable searching.

Abstract: A system and a method create metadata for media files. The metadata may be information relating to, based on and/or associated with the media files. The metadata of the media files may be searched by one or more terminals. An event database connectable to a terminal may use a location, a date and/or a time of creation of the media files to associate specific events with the media files. Further, the specific events may be used by the database to create keywords associated with the media files. As a result, the system and the method may organize and/or may provide searching for media files. A web page may be generated for an event that accumulates the media files related to the event.

Abstract: A system and method for generating a virtual tour on a display device is described. The method comprises providing at least one map. The method further comprises providing a plurality of sequenced images, wherein each of the images is associated with at least one location by a geo-coding module configured to generate a geo-location object data sheet that associates sequential images with a corresponding location. The sequenced images are organized based on the location of each of the sequenced images and displayed on the map. The method is implemented by the system.

Abstract: A system for storing digital images and accessing and storing digital image information using a communication network includes a plurality of independently controlled digital storage repositories associated with one or more different authorization groups, wherein a first digital storage repository includes a first digital image with associated first semantic information and wherein a second digital storage repository in a common authorization group with the first digital storage repository includes a second digital image with associated second semantic information and an associated second category, and wherein the processor of the first digital storage repository uses its computer program to independently access and match the first semantic information with the second semantic information, to associate the second category with the first semantic information, and to store the second category in association with the first semantic information in the first digital storage repository.