Abstract:
A method and system for speech to speech translation using a plurality of computational cores of a natural liquid architecture are provided. The method includes receiving an audio signal; identifying a first concept related to the received audio signal; identifying a first language based on the first concept identified for the received audio signal; and determining a match between of the first concept and at least a second concept, wherein the at least second concept represents a target second language.
Abstract:
A method and system for determining the correlation of at least one keyword to a multimedia content element. The method comprises generating at least one signature to a received multimedia content element; searching for at least one potentially correlative keyword respective of the at least one generated signature; and determining the correlation of each of the at least one keywords to the multimedia content element.
Abstract:
A method and system for matching informative content to a multimedia content element are provided. The method comprises identifying the multimedia content element in a web-page displayed on a user node; generating at least one signature for the multimedia content element; determining a user impression respective of at least one multimedia content element; determining at least one matching concept based on the at least one generated signature and the determined impression; searching for matching informative content based on the matching concept; and determining a display area within the multimedia content element over which the matched informative content can be displayed.
Abstract:
A method and system for providing at least a link to a content item related to a multimedia content element respective of an on-image gesture. The method comprises receiving, from a user device, at least on-image gesture and the multimedia content element; analyzing the at least on-image gesture determine at least one portion of the multimedia content element that a user is interested in; generating at least one signature for each of the at least a portion; determining a content item corresponding to the at least one identified portion of multimedia content, wherein the determination is based in part on a type of the at least on-image gesture; and modifying the received multimedia content element to include at least a link to an informative resource containing the content item.
Abstract:
A method for detection of common patterns within unstructured data elements. The method includes extracting a plurality of unstructured data elements retrieved from a plurality of big data sources; generating at least one signature for each of the plurality of unstructured data elements; identifying common patterns among the generated signatures; clustering the signatures identified to have common patterns; and correlating the generated clusters to identify associations between their respective identified common patterns.
Abstract:
A method for generating a concept database respective of a plurality of multimedia data elements (MMDEs) comprises generating a plurality of items from a received MMDE of the plurality of MMDEs; determining the items that are of interest for signature generation; generating at least one signature responsive to at least one item of interest of the received MMDE of the plurality of MMDEs; clustering a plurality of signatures received from the signature generator responsive of the plurality of MMDEs; reducing the number of signatures in each cluster to a create a signature reduced cluster (SRC) of the cluster; associating metadata with the SRC to a concept structure comprised of a plurality of SRCs and their associated metadata; and generating at least one index for mapping the received MMDE to at least one concept structure, wherein the concept database includes concept structures and the generated indices for the plurality of MMDEs.
Abstract:
Content-based clustering, recognition, classification and search of high volumes of multimedia data in real-time. The embodiments disclosed herein are dedicated to real-time fast generation of signatures to high-volume of multimedia content-segments, based on relevant audio and visual signals, and to scalable matching of signatures of high-volume database of content-segments' signatures. The embodiments disclosed herein can be implemented in any applications which involve large-scale content-based clustering, recognition and classification of multimedia data, such as, content-tracking, video filtering, multimedia taxonomy generation, video fingerprinting, speech-to-text, audio classification, object recognition, video search and any other application requiring content-based signatures generation and matching for large content volumes such as, web and other large-scale databases.
Abstract:
A system for generating concept structures respective of a plurality of multimedia data elements (MMDEs). The system comprises an attention processor (AP) for generating a plurality of items from a received MMDE of the plurality of MMDEs and determining which of the generated items that are of interest for signature generation; a signature generator (SG) for generating at least a signature responsive to at least an item of interest of the received MMDE of the plurality of MMDEs; a clustering processor (CP) for clustering a plurality of signatures received from the signature generator responsive of the plurality of MMDEs, and for creating a signature reduced cluster (SRC) of the cluster; and a concept generator (CG) for associating metadata with the SRC and matches the SRC with previously generated SRC such that SRCs that match form a concept structure comprised of a plurality of SRCs and their associated metadata.
Abstract:
A system for generating concept structures respective of a plurality of multimedia data elements (MMDEs). The system comprises an attention processor (AP) for generating a plurality of items from a received MMDE of the plurality of MMDEs and determining which of the generated items that are of interest for signature generation; a signature generator (SG) for generating at least a signature responsive to at least an item of interest of the received MMDE of the plurality of MMDEs; a clustering processor (CP) for clustering a plurality of signatures received from the signature generator responsive of the plurality of MMDEs, and for creating a signature reduced cluster (SRC) of the cluster; and a concept generator (CG) for associating metadata with the SRC and matches the SRC with previously generated SRC such that SRCs that match form a concept structure comprised of a plurality of SRCs and their associated metadata.
Abstract:
A method and system for generating a complex signature of a multimedia data element. The method comprises partitioning the multimedia data element recursively until a minimum size multimedia data element is reached; generating a signature for each minimum size multimedia data element; assembling at least a complex signature comprising a plurality of signatures of the minimum size multimedia data elements; and storing the signatures of each of the minimum size multimedia data elements and the complex signature of the multimedia data element in association with the multimedia data element and partitions thereof in a storage unit.