Abstract: Methods and systems for execution of data operations in a queue are described. One method includes loading a pointer to a record in a lock-free ring buffer by an executing thread, as well as calculating an index from the pointer to a record to be processed and obtaining a header of the record to be processed. Based on the header, a state of the record to be processed is determined from among: a filled state, a filling state, a drained state, and a draining state. A candidate header is created which includes an updated state indicating that the record is in use by the executing thread. An atomic operation is performed to update the header of the record to the candidate header. Upon successful completion of the atomic operation to update the header of the record to the candidate header, a data operation is performed on the record.

Abstract: A method of labeling a dataset of input samples for a machine learning task includes selecting a plurality of pre-trained machine learning models that are related to a machine learning task. The method further includes processing a plurality of input data samples through each of the pre-trained models to generate a set of embeddings. The method further includes generating a plurality of clusterings from the set of embeddings. The method further includes analyzing, by a processing device, the plurality of clusterings to extract superclusters. The method further includes assigning pseudo-labels to the input samples based on analysis.

Abstract: A system for handling Implicit transactions in a hybrid cloud cache. The hybrid cloud cache maintains folders in a metadata file system that includes a hierarchy of cached folders, and maintains a meta-file containing metadata of files and folders. The system obtains a meta-file from a cloud platform and compares that to a meta-file obtained from the hybrid cloud cache. An object associated with an Implicit metadata transaction is transferred to an internal namespace of the hybrid cloud cache if the comparison indicates that certain conditions are met. The system may perform a bottom-up traversal of the namespace and may abort the traversal if an outstanding explicit transaction for the object is present or the object exists in the cloud platform. An object may be moved to a temporary storage location if there is no explicit transaction on it and the object does not exist in the cloud platform.

Abstract: Provided is a method of managing a keyword in a service server for providing a service, the method including acquiring a first set of keywords corresponding to a first server, checking whether each keyword in the first set of keywords corresponds to a dead link based on a landing page of the service corresponding to each keyword in the first set of keywords, updating status information of each keyword in the first set of keywords when each keyword in the first set of keywords corresponds to the dead link, and providing the updated status information of the first set of keywords to the first server.

Abstract: A method and system for streaming data from portable storage devices. Specifically, the disclosed method and system implement iterative data streaming from a portable storage device for remote storage operations, while requiring zero over-provisioning storage space for buffering incoming write operations to the portable storage device.

Abstract: Techniques for modifying queries in a set of nested queries are disclosed. A graphical user interface displays a query detail region alongside a nested query display region. The graphical user interface includes functionality to provide for modification of queries in the nested set of queries. Based on a selection by a user, a query modification tool promotes a query attribute from a child query to one or more parent queries. Based on another selection by a user associated with one query in the set of nested queries, the system deletes an attribute from each query in the set of nested queries. Responsive to a selection to create multiple conditions for a query rule, the system modifies the functionality of the user interface to enable entry of multiple condition characteristics. Based on a further selection, the system creates the multiple conditions for the query rule.

Abstract: Methods, systems, and computer-readable storage media for receiving, by a conversation-based search system (CSS) of an analytics system, verbal input from a user, providing, by the CSS, text input based on the verbal input, processing, by the CSS, the text input to determine a set of contexts, each context in the set of context representing one or more operations of an enterprise, determining, by the CSS, one or more insights based on the set of contexts, each insight representative of a performance of the enterprise, and displaying, by the analytics system, a story comprising one or more visualizations, each visualization depicting at least one insight.

Abstract: Provided are a computer program product, system, and method for processing request directed through a channel subsystem to a storage server. In one embodiment, a pattern search request is embedded in a Device Command Word (DCW) which allows the storage server to do all or substantially all of the search and comparison work in response to as few as a single DCW from the host. In addition, I/O processing can be enhanced to use the target record of interest of a successful embedded pattern search request as the starting point for read/write I/O processing, all in response to as few as a single DCW. Still further, orientation rules can also be relaxed such that once a target record is found, any and all fields of the record can be accessed and utilized in execution of subsequent commands of the initial or subsequent DCWs of the chain.

Abstract: A method and system are provided for searching a search query having a non-character-based input. The method comprises receiving the search query comprising a first part and a second part. The first part comprises a non-character-based input. The method further comprises identifying a first plurality of keywords associated with the non-character-based input and receiving a selection of at least one of the first plurality of keywords. The method further comprises generating a modified search query comprising the at least one selected keyword and the second part. The method further comprises retrieving search results based on the modified search query and generating for presentation the search results.

Abstract: Techniques are described herein for subquery removal given two set operation-based subqueries in a query, where one subquery contains the result of the other. The described optimization technique of subquery removal is enabled by join and set operation-based containment of the set operation-based subqueries where semantic equivalence can be established for a given pair of set operation-based subqueries when some table(s)—with associated join condition(s), correlation condition(s), and/or filter predicate(s)—in one subquery are not considered. Subquery removal reduces multiple access to the same table and multiple evaluations of the same join conditions required to evaluate the query. When a subquery is removed from a disjunction, this may lead to other optimizations such as subquery unnesting, e.g., when the original query configuration would not permit query unnesting and the rewritten query (with one or more removed subqueries) permits unnesting.

Abstract: Disclosed are examples of systems, apparatus, methods and computer program products for providing run-time querying of multi-tenant non-relational database objects. A database system maintains a multi-tenant non-relational database associated with a number of enterprises, a number of records, and a number of data objects for each of the enterprises, each data object having at least one composite key field. A request is received during runtime to query data related to a data object, and the system determines that the data object is defined to be used in associated with a non-relational database. The system then retrieves a metadata model of the data object, determines that the request includes at least one composite key field for the data object, and processes the requery to query data in synchronous fashion. Finally, a query response is provided to the user.

Abstract: A computing system may comprise a server system, a database, and one or more data sources having different cadences, such as a batch data source and a real-time data source. The server system may generate a first dataset based on data from the batch data source, and may generate a second dataset based on data received from the real-time data source. The server system may determine metadata associated with the real-time data source. Based on the metadata, the server system may generate a database table representation of the real-time data source. The server system may be configured to perform a relational join on the first and second datasets. Such a relational join may define a namespace that is based on the first and second datasets.

Abstract: Systems, methods and computer program code to propose annotations are provided which include identifying an input, applying a grouping model to the input to predict at least a first grouping concept associated with the input, comparing the at least first grouping concept to a set of relationship data to select at least a first ranking model, applying the at least first ranking model to the input to predict at least a first ranking concept associated with the input, and causing a user interface to display the input, the at least first grouping concept and the at least first ranking concept to a user as proposed annotations of the input.

Abstract: The technology described herein solicits user feedback in order to improve the processing of contextual signal data to identify automation setting preferences. Users have limited availability or willingness to provide explicit feedback. The technology calculates an impact score that measures a possible improvement to the automation system that could result from receiving feedback. Feedback is solicited when the impact score exceeds a threshold. Other rules can be provided in conjunction with the impact score to determine when feedback is solicited, such as a daily cap on feedback solicitations.

Abstract: Provided are methods and computer-readable media for providing recommended entities based on a user's external social graph, such as asymmetric social graph of a social networking service. In some embodiments, entities responsive to a search query or other request may be obtained. Each entity may be evaluated to determine if the entity is associated with a contact from a user's social graph. The association may include an evaluation (e.g., a rating, review, other evaluation or combination thereof) of the entity by the contact. Additionally, the contacts having associations with an entity may be ranked based on a relationship score with a user. The entities having associations with the contacts from a user's social graph may be provided as recommended entities to the user, and the association may be annotated to the recommended entity for viewing by the user.

Abstract: An information search method and apparatus, a device and a storage medium, relating to fields of intelligent search, intelligent recommendation, deep learning and the like. A specific implementation includes: determining feature information of a target user; acquiring at least one candidate search path to determine candidate search results in a database; determining a matching degree between the feature information of the target user and the at least one candidate search path using a matching model, and determining a target search path from the candidate search paths according to the matching degree; and determining a target search result matched with the target user using the target search path.

Abstract: The present disclosure relates to systems and methods customizing electronic communications. A future event associated with a first user may be determined, and a second user that is associated with the first user may be identified. A plurality of communications involving the first user and the second user may be analyzed. A selection rule may be applied based on the analyzed plurality of communications, the selection rule identifying content from the database. Content from the database may be selected based on the application of the selection rule. An electronic message may be provided to the first user identifying the future event, and the selected content may be provided to the first user.

Abstract: A combined configuration rules-attribute configuration system uses an integrated configuration model to efficiently identify and attribute prioritize valid configuration answers. Submitting an attribute-based configuration query to the combined configuration rules-attribute configuration system allows the query to be answered in a single step. The combined configuration rules and attribute data guide product configuration processing and minimize configuration processing by, for example, calculating only the valid configuration answers that are candidates for the preferred valid answer(s). Thus, the combined configuration rules-attribute configuration system can minimize the number of valid configuration answers to be considered for presentation to a client system or other user of the combined configuration rules-attribute configuration system.

Abstract: A system and method for patent mapping are provided. The system comprises a database of patent sets and a database of patents, each patent stored in the database of patents associated with one or more patent sets stored in the database of patent sets; and one or more modules to perform a portion of one or more of the following: receive input identifying a set of keyword source claims associated with a first patent set; automatically extract at least one keyword from the source claims; receive or formulate a search query associated with the first patent set, the search query including the at least one keyword; search the entire first patent set as a function of the search query; generate search results, the search results including one or more patent claims associated with the search query; and map the one or more patent claims to a patent concept.

Abstract: Systems, methods, and apparatus include computer programs encoded on a computer-readable storage medium, including a system for ranking videos. Videos are identified that have been presented at client devices. For each video, session start data is identified that specifies a lead video that initiated presentation to a user during a presentation session. For each lead video, presentation times over multiple user sessions are determined, a scaled presentation time is obtained, user sessions for which the lead video initiated presentation of videos are identified, and an aggregate video presentation time attributable to the lead video is determined. For each given video, a presentation score is determined based on a scaled presentation time of the lead video relative to a sum of the aggregate video presentation times for the lead videos. The videos are ranked based on the presentation scores. A user interface is updated to present the ranked videos.

Abstract: Techniques and structures to facilitate automatic adjustment of a database connection pool, including calculating a first value indicating a number of connections of to be provided by a first of a plurality of application servers, determining whether the first value is equal to a second value previously calculated to indicate the number of connections to be provided by the first application server and adjusting the database connection pool by providing the number of connections to access the database as indicated by the first value upon a determination that the first value is not equal to the second value.

Abstract: A method and system according to embodiments enable generalized program to program interoperability. The method and system employ an automatic or substantially automatic transform adapter for using a given exchange standard for two-way communication with a program. In order for the adapter to employ the exchange standard, a discovery manager may learn the program's data communications structure and/or format, and may learn data meaning information from the program. An adapter creator may derive a transform which converts the program's data communications structure and data meaning into the exchange standard. The transform may be used by the adapter to enable two-way communication with any adapter and/or program similarly employing the given exchange standard to achieve interoperability.

Abstract: Systems and methods are described for generating metrics from real-time streaming log data. In order to generate the metrics, a metricization rule associated with the log data can be obtained. For example, the metricization rule may be obtained from a user. The metricization rule may include one or more field-value pairs that define how the metrics are generated from the log data. Preview metric data can be generated by applying the metricization rule to the log data. For example, the preview metric data may be displayed via a user interface. Further, the metricization rule can be accepted or approved by the user. Further, the additional log data can be ingested and based on determining that the metricization rule has been accepted, metric data may be generated by applying the metricization rule to the additional log data.

Abstract: A system and method for enabling ETL (Extract-Transform-Load) as a service for data processing are disclosed. A user interface (UI) platform includes an input interface layer and an output interface layer. A receiver receives user input, via the input interface layer, of configuration details data corresponding to a desired data to be fetched from one or more data sources. A processor fetches the desired data from said one or more data sources based on the configuration details data to be utilized for the desired data processing scheme; automatically implements a transformation algorithm on the desired data corresponding to the configuration details data and the desired data processing scheme to output a transformed data in a predefined format; and transmits, via the output interface layer, the transformed data to downstream applications or systems in an end-to-end pipeline.

Abstract: Provided are methods and systems comprising receiving a data set comprising a plurality of records having a plurality of fields, displaying a plurality of graphical objects representing the plurality of records, receiving a selection of one or more of the plurality of fields, determining, based on the selected one or more of the plurality of fields, a similarity score between each of the records of the plurality of records, and adjusting, based on the similarity scores, the plurality of graphical objects.

Abstract: The systems and methods described herein analyze one or more selected data sources in their entirety and determine data relationships, using a single-branch approach. Indexes are created based on the determined data relationships, and data from the one or more data sets is imported into the indexes and stored in a back-end storage system. Once the data is analyzed and stored in the indexes, a user can submit a request for a data visualization. In response to the request, the system automatically generates (e.g., builds) and displays the requested data visualization to the user. In some examples, the user may request a modification of the data visualization such as changing the timeframe shown in the data visualization or adding/removing data associated with a particular parameter, and the system will automatically generate the modified data visualization for the user.

Abstract: According to some embodiments, a selection server is in communication with a potential communication device database and a currently participating device database, the potential communication device database storing information about communication devices associated with a transition from a first state to a second state, including at least one communication address associated with each communication device. The selection server may automatically identify a communication device as meeting a pre-determined criteria and copy information about the identified communication device from the potential communication device database to the currently participating device database.

Abstract: The present disclosure involves systems, software, and computer implemented methods for aligned purpose disassociation in a multi-system landscape. One example method includes receiving, from multiple systems, a can-disassociate status for a purpose for an object instance. The status from a respective system can be an affirmative status that indicates that the system can disassociate the purpose from the instance or a negative status that indicates that the system cannot disassociate the purpose from the instance. The received statuses are evaluated to determine a central disassociate purpose decision for the purpose for the instance. The central disassociate purpose decision can be to disassociate the purpose from the instance when no system has the negative status and to not disassociate the purpose from the instance when at least one system has the negative status. The central disassociate purpose decision is provided to at least some of the multiple systems.

Abstract: Disclosed herein are system, method, and computer program product embodiments for replicating data from table in a source database to a target database. In some embodiments, data replication includes access plan delimitation and access plan calculation steps and is performed on a table having multiple partitions. A table may be divided into one or more partitions and each partition may be further divided into one or more access plans. Access plan delimitation may involve calculating, in parallel, boundaries of access plans within partitions of the table. Access plan calculation may be initiated on the first partition that has completed the access plan delimitation steps, and may involve transferring data from each delimited partition from the table in the source database to the target database.

Abstract: Mechanisms for multidimensional data modeling and operations and related procedures are described. Resource structures for multidimensional data can be used. This can allow lumped operations such as RESTful operations and procedures on the multidimensional data. A new attribute “SamplingPeriodCovered” can be used to indicate the time interval when the related time series data (or any multi-dimension data streams) are stored. This can reduce the total size of the data stored.

Abstract: The present invention discloses a method, a system and a computer program product for data processing and classification. The invention provides warm start and cold start classification tools for classification of data obtained from known or unknown entities. The system and method are also configured to be employed over blockchain based networks.

Abstract: An approach is provided for combining location data sources. The approach, for instance, involves generating a first context-aware vector representation of a first location entity in a first data source and a second context-aware vector representation of a second location entity in a second data source. The approach also comprises processing the first context-aware vector representation and the second context-aware vector representation using a machine learning model to perform a classification of the first location entity as the same as the second location entity. The approach further comprises combining the first data source and the data source into a new database based on the classification and providing the new database as an output.

Abstract: Exemplary embodiments pertain to new techniques for classifying or labeling organized data. A major impediment to implementing high-quality machine learning is the lack of readily accessible labeled data. In some cases, data can be classified using a classifier, but these solutions can be inaccurate and slow. Exemplary embodiments address the problem of obtaining accurate labeled data in a timely manner by applying a classifier configured to operate on character-level embeddings. Among other advantages, this can help the classifier to recognize information contained within a data unit, such as a cell of a table. The classifier may operate within the organizational structure of the data, such as by operating across a particular row or column of a table. Because data within a particular row or column is often temporally organized (e.g., transactions that are logged in chronological order), row- or column-based approaches can yield more accurate results.

Abstract: Co-clustering of at least some parameters is employed to reduce data transferred between edge and cloud resources. Single-parameter cluster information, including cluster counts, for each of two or more parameters of interest is accessed. Each parameter may represent a time series of numeric values sent from an IoT unit to an edge device. A co-clustering ratio is determined for each unique parameter pair. The co-clustering ratio indicates whether the number of clusters produced by a co-clustering algorithm applied to a group of parameters is less than the number of clusters required to represent the parameters without co-clustering. Co-cluster groups may be identified based on the cluster ratios. For each co-cluster group, the co-clustering algorithm may be invoked to produce compressed encodings of numeric value tuples. The compressed encoding is then transmitted to a cloud computing resource and decoded into a tuple of surrogate values.

Abstract: Embodiments of the present disclosure relate generally to organizing electronic text documents. In particular, one or more embodiments comprise a content management system that improves the organization of electronic text documents by intelligently and accurately categorizing electronic text documents by topic. The content management system organizes electronic text documents based on one or more topics, without the need for a human reviewer to manually classify each electronic text document, and without the need for training a classification algorithm based on a set of manually classified electronic text documents. Further, the content management system identifies and suggests topics for electronic text documents that relate to new or emerging topics.

Abstract: The present invention relates a method for high-performance traceability query oriented to multi-chain data association, comprising: identifying a target transaction needing the traceability query; searching out all corresponding target chains based on cross-chain transaction data association; making query requests parallelly; and executing the query among the target chains according to a key value of the target transaction and returning query results. The blockchain traceability query method proposed by the present invention is different from serialized block data query conducted in the chain-type structure, and the disclosed cross-chain query operation can be parallelly executed, leading to improved efficiency of traceability query. Opposite to the conventional blockchain where blocks are used as nodes of chains, the present invention directly uses sub blockchains as nodes of the SRB.

Abstract: Methods, systems, and computer-readable media are provided for facilitating mapping of semantically similar terms between and among two or more information systems. In particular, to facilitate automatic discovery, establishment, and/or statistical validation of linkages between a plurality of different nomenclatures employed by a plurality of information systems, such as multiple electronic health record systems. In embodiments, the imputation of latent synonymy in corpora comprised of samples of historical records from each system enables automated terminology mapping between disparate systems' records, thereby establishing reliable linkages that may subsequently be utilized for realtime decision support, data mining-based research, or other valuable purposes.

Abstract: Systems and methods are provided herein for enabling a computing system to search and interact with service records containing natural language text to aid in the analysis of those records by: displaying in a user interface an image of a complex system; receiving, from the user interface, a high-level selection of criteria of the complex system; querying issue maps associated with individual natural language service records of a corpus of natural language service records based on the high-level selection, wherein the issue maps specify at least one term related to the complex system and a location on the complex system associated with the at least one term; and returning at least one issue map, wherein the at least one issue map returned specifies a term or location correlated to the criteria of the complex system indicated by the high-level selection.

Abstract: An apparatus and computer implemented method that include obtaining, into a computer, text of a patent, automatically finding and extracting, using the computer, a set of claim text from the patent text, identifying, using the computer, text of independent claims from the set of claim text, displaying in a first row on a computer monitor the text of the independent claims, automatically determining a plurality of preliminary scope-concept phrases from the text of the independent claims, displaying in a second row on the computer monitor the text of the plurality of preliminary scope-concept phrases, eliciting and receiving user input to specify a first one of the plurality of preliminary scope-concepts phrases, and highlighting each occurrence of the specified first one of the plurality of preliminary scope-concept phrases in a plurality of the independent claims displayed in the first row. A scope concept builder tool is also provided.

Abstract: The present application discloses a method and an apparatus for information query, and an electronic device, which relates to a field of deep learning (DL), natural language processing (NLP) and artificial intelligence (AI) technology. The method includes: receiving a query sentence, segmenting the query sentence to obtain word segments, and obtaining a dependency relationship between two word segments and part of speech of the word segments; obtaining a coding sequence of the query sentence according to the dependency relationship and the part of speech of the word segments; matching the coding sequence with a generalized template to obtain a core corpus of the query sentence, wherein the generalized template comprises part of speech to be extracted and a dependency relationship to be extracted; and obtaining a query result corresponding to the query sentence based on the core corpus.

Abstract: Systems and methods are disclosed herein for processing a natural language query on data tables. According to some embodiments, a natural language query may be originated by a user via a user interface. The natural language query may be parsed to obtain a query term, and a grid range may be identified in a data table as relevant to the query term. A table summary may be prepared including a plurality of characteristics based on the grid range. A logic operation may then be determined to apply on the plurality of characteristics to derive the query term. The logic operation may then be translated into a formula executable on the data table, and the formula is applied on the data table to generate a result in response to the natural language query.

Abstract: Example systems and methods for efficient data governance are disclosed. Metadata associated with file objects is analyzed to estimate, for each file object, likelihood that the file object includes sensitive data. The estimates are used to prioritize the file objects for analysis of the file objects’ content to determine the objects include data deemed to be of a sensitive nature. In cloud-based systems/methods the estimates are also used to prioritize the file objects for transfer from a remote file storage system to the cloud-based system for analysis of content. The disclosed systems and methods significantly reduce the time required to identify sensitive file content in a large number of file objects.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer-readable storage media, for providing action objects in a semantic graph. IN some implementations, semantic graph data indicates a semantic graph of objects and relationships between the objects. The semantic graph data defines an action object that represents an action that can be initiated, and the semantic graph data indicates a particular object type or a particular data type with which the action object can be used. An object of a particular object type or data of the particular data type is identified as being involved in processing of the one or more computers. In response to identifying the use of the object of the particular object type or data of the particular data type, an indication is provided that the action represented by the action object can be initiated.

Abstract: A system, server device, and method are provided for managing document metadata. The method includes storing metadata in a graph separately from documents with which the metadata is associated and connecting metadata in the graph according to a hierarchy, with each node of the graph being classified based on metadata content. The method also includes assigning properties to edges in the graph connecting the nodes; receiving, via a communications module, an instruction to update the metadata; and dynamically updating at least one edge or node in the graph according to the instruction without requiring access to an associated document. The method also includes receiving, via the communications module, an inquiry related to a document; and responding to the inquiry, via the communications module, after accessing metadata associated with the document by navigating the graph.

Abstract: A method for automated routing of pictures taken on mobile electronic devices to a digital picture frame including a camera integrated with the frame, and a network connection module allowing the frame for direct contact and upload of photos from electronic devices or from photo collections of community members. The integrated camera is used to automatically determine an identity of a frame viewer and can capture gesture-based feedback. The displayed photos are automatically shown and/or changed according to the detected viewers. The photos can be filtered and cropped at the receiver side. Clustering photos by content is used to improve display and to respond to photo viewer desires.

Abstract: Systems and methods are described to address shortcomings in conventional conversation systems by executing a customized supplemental function for a natural language query based on the user's profile. In some aspects, the systems and methods receive a user query for a media asset, determine a query template in the user's profile matching the user's query, and identify and execute a supplemental function corresponding to the query template in addition to responding to the user's query. The user's profile is customized on the user's usage patterns of an interactive media guidance application. By monitoring the user's usage patterns and learning from the user's actions in conjunction with the user's natural language queries on which supplemental functions to execute, the interactive media guidance application may provide a smarter and more efficient user experience.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to detect unconfined view media. A disclosed apparatus includes means for generating a pixel map to generate a reference pixel map for media data; means for detecting a field of view to detect a field of view for a presentation of the media data; and means for determining a view edge to determine a first view edge based on the field of view and the reference pixel map and that the media data corresponds to unconfined view media based on the first view edge.

Abstract: In an example method, a series of time-based clustering images is generated for a plurality of library fragments from a genome sample. Each time-based clustering image in the series is sequentially generated. To generate each time-based clustering image in the series: i) a respective sample is introduced to a flow cell, the respective sample including contiguity preserved library fragments of the plurality of library fragments, wherein the contiguity preserved library fragments are attached to a solid support or are attached to each other; ii) the contiguity preserved library fragments are released from the solid support or from each other; iii) the contiguity preserved library fragments are amplified to generate a plurality of respective template strands; iv) the respective template strands are stained; and v) the respective template strands are imaged.

Abstract: Embodiments of this application provide an image generation system and method. In an exemplary manufacturing industry scenario, a style requirement of a product category in a manufacturing industry is automatically captured according to user behavior data and product description information associated with the product category. Based on these data, a style description text may be generated and converted to product images by using a text prediction-based image generation model. The product images are further screened by using an image-text matching model, to obtain a product image with high quality. This process covers from style description text mining to text-to-image prediction to image quality evaluation. It provides an automation product image generation capability for the manufacturing industry, shorten a cycle of designing and producing the product image in the manufacturing industry, and improve production efficiency of the product image.

Abstract: Systems and processes are provided to generate and transmit a thumbnail image for a video searching function including a video input configured to receive a video signal, a processor configured to decode the video signal to generate a video program, to generate a plurality of thumbnail images in response to the video program, to determine a subset of the plurality of thumbnail images in response to a client request and to couple the subset of the plurality of thumbnail images to a network interface, and the network interface configured to transmit and receive data on a local area network, the network interface being operative to receive the client request from a client device and to transmit the subset of the plurality of thumbnail images to the network interface for transmission to the client device.