Abstract:
A method and system for providing contextually appropriate overlays. The method includes causing the generation of at least one signature for each of at least one input multimedia content element, wherein each signature represents a concept, wherein each concept is a collection of signatures and metadata describing the concept; correlating the concepts represented by the generated signatures to determine at least one context of the at least one input multimedia content element; determining, based on the at least one context of the at least one input multimedia content element, at least one contextually relevant reference multimedia content element, wherein each contextually relevant multimedia content element has a context matching at least one of the determined at least one context above a predetermined threshold; and causing an overlay of the at least one contextually relevant reference multimedia content element on the at least one input multimedia content element.
Abstract:
A system and method for determining analytics based on multimedia content elements. The method includes causing generation of at least one signature for at least one input multimedia content element, wherein each signature represents a concept, wherein each concept is a collection of signatures and metadata representing the concept; comparing the generated at least one signature to a plurality of signatures of reference multimedia content elements to determine at least one matching reference multimedia content element, wherein each reference multimedia content element is associated with at least one predetermined analytic; and determining, based on the comparison, at least one analytic, wherein the determined at least one analytic includes the at least one predetermined analytic associated with each matching reference multimedia content element.
Abstract:
A method for diagnosing a patient based on analysis of multimedia content is provided. The method includes receiving at least one multimedia content element respective of the patient from a user device; generating at least one signature for the at least one multimedia content element; generating at least one identifier respective of the at least one multimedia content element using the at least one generated signature; searching a plurality of data sources for possible diagnoses respective of the one or more identifiers; and providing at least one possible diagnoses respective of the at least one multimedia content element to the user device.
Abstract:
A system and method for generating personalized multimedia content element clusters. The method includes determining, based on at least one interest, at least one personalized concept, wherein each personalized concept represents one of the at least one user interest; obtaining at least one multimedia content element related to a user; generating at least one signature for the at least one multimedia content element, each generated signature representing at least a portion of the at least one multimedia content element; determining, based on the generated at least one signature, at least one multimedia content element cluster, wherein each cluster includes a plurality of multimedia content elements sharing a common concept of the at least one personalized concept; and creating at least one personalized multimedia content element cluster by adding, to each determined cluster, at least one of the at least one multimedia content element sharing the common concept of the cluster.
Abstract:
A system and method for automated sharing multimedia content. The method includes: detecting at least one sharing trigger event, wherein the at least one sharing trigger event is related to at least one multimedia content element to be shared by a sharing device; determining, for each multimedia content element, correlations among a plurality of signatures generated for the multimedia content element, wherein each signature represents an abstract depiction of at least a portion of the multimedia content element; generating, based on the determined correlations, at least one contextual parameter, each contextual parameter indicating a context of one of the at least one multimedia content element; identifying, based on the generated at least one contextual parameter, at least one recipient device, wherein the identified at least one recipient device does not include the sharing device; and sharing the at least one multimedia content element with the at least one recipient device.
Abstract:
A system and method for generating concept structures based on a plurality of multimedia data elements (MMDEs). The method includes: generating, based on the plurality of MMDEs, a plurality of patches, wherein each patch is at least a portion of one of the MMDEs; generating, based on the plurality of patches, a plurality of signatures for the plurality of MMDEs; clustering the generated plurality of signatures into a plurality of clusters; generating metadata for each of the plurality of clusters; and creating, based on the plurality of clusters, at least one concept structure, wherein each concept structure includes at least one of the plurality of clusters and the metadata associated with the at least one of the plurality of clusters.
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 a user attention to a multimedia data element (MMDE) displayed in a web-page over a user computing device. The method includes generating, based on at least one sensory signal captured by at least one sensor communicatively connected to the computing device, at least one signature; querying, using the generated at least one signature, a deep-content-classification (DCC) system for at least one concept structure matching the received at least one sensory signal, wherein each of the at least one concept structure includes metadata associated with a plurality of signature reduced clusters representing MMDEs; identifying the metadata of the matching at least one concept structure; and analyzing the identified metadata to determine an attention of a user to the MMDE.
Abstract:
A method and system for symbol-space based pattern compression is provided. The method includes identifying a plurality of combinations of symbols in an input sequence, each identified combination of symbols appearing in the input sequence above a predefined threshold, the input sequence having a first length; generating an output sequence having a second length by replacing each identified combination of symbols with a unique symbol, wherein each unique symbol is not a previously used symbol, wherein the second length is shorter than the first length; and storing the output sequence as a data layer.
Abstract:
A method for determining a user attention to at least one multimedia data element (MMDE) displayed in a web-page over a user computing device. The method comprises receiving a request to determine the user attention, wherein the request includes at least the web-page and an identification of the at least one MMDE in the web-page; receiving at least one sensory signal captured by at least one sensor connected to the user computing device; querying a deep-content-classification (DCC) system to find a match between at least one concept structure and the received sensory signal; receiving a first set of metadata related to the at least one matched concept structure; analyzing the returned set of metadata to determine the user attention with respect to the at least one MMDE; and associating the at least one MMDE with the determined user attention.