Abstract: A system and method for speech-to-text translation. The method includes determining, based on at least one audio input in a first language, at least one original language concept; identifying, based on the determined at least one original language concept, the first language of the at least one audio input; determining, for each original language concept, a matching translated concept, wherein each matching translated concept is associated with a second language, wherein the second language is different from the first language; generating a textual output based on the determined at least one translated concept.

Abstract: A system and method for determining sequentially relevant content. The method includes generating at least one signature for a multimedia content item stored in a mobile device; matching the generated at least one signature to a plurality of signatures of content items; and determining, based on the matching, at least one sequentially relevant content item.

Abstract: A system and method for recommending tags for a multimedia content element to be tagged. The method includes obtaining a plurality of signatures for the multimedia content element to be tagged, wherein each of the generated signatures represents a concept, wherein each concept is a collection of signatures and metadata representing the concept; correlating between the plurality of signatures to determine at least one context of the multimedia content element to be tagged; searching for at least one contextually related multimedia content element, wherein each contextually related multimedia content element matches at least one of the determined at least one context; and identifying at least one tag, wherein each identified tag is associated with at least one of the at least one contextually related multimedia content element; generating a recommendation including the identified at least one tag.

Abstract: A system and method for recommending trending content based on context. The method includes receiving a query, wherein the query indicates a user intent; searching in at least one data source for a plurality of multimedia content elements related to the user intent; generating at least one signature for each of the plurality of multimedia content elements, wherein each signature represents a concept, wherein each concept is a collection of signatures and metadata describing the concept; correlating the concepts of the generated signatures to determine at least one context of each multimedia content element, wherein each context represents a sentiment; and generating, based on the determined contexts, a recommendation of at least one multimedia content element from among the plurality of multimedia content elements.

Abstract: A system and method for method for determining common patterns based on key points in multimedia data elements (MMDEs). The method includes: identifying a plurality of candidate key points in each of the plurality of MMDEs, wherein a size of each candidate key point is equal to a predetermined size and a scale of each candidate key point is equal to a predetermined scale; analyzing the identified candidate key points to determine a set of properties for each candidate key point; comparing the sets of properties of the plurality of candidate key points of each MMDE; selecting, for each MMDE, a plurality of key points from among the candidate key points based on the comparison; generating, based on the key points for each MMDE, a signature for the MMDE; and comparing the signatures of the plurality of MMDEs to output at least one common pattern among the plurality of MMDEs.

Abstract: A system and method for generating recommendations based on personalized multimedia content element clusters. The method includes obtaining a personalized multimedia content element cluster associated with a user, wherein the personalized multimedia content element cluster includes a plurality of multimedia content elements related to a common concept, wherein the common concept represents a user interest of the user; analyzing the obtained personalized multimedia content element cluster to determine at least one query; searching, using the determined at least one query, for at least one relevant multimedia content element that is relevant to the user interest of the user; and providing, to the user, at least one recommended multimedia content element of the at least one relevant multimedia content element found during the search.

Abstract: A method and system for symbol-space based pattern compression. The method includes identifying a plurality of basic image symbols in an input sequence; assigning, to each of the plurality of basic image symbols, at least one connecting port; generating an output sequence by replacing each identified basic image symbol with an identification symbol, wherein the output sequence indicates connections between pairs of the plurality of basic image symbols based on the connecting ports, wherein each identification symbol is not a previously used symbol; and storing the output sequence as a data layer.

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 method for identifying key points in a multimedia data element (MMDE). The method includes: identifying, via a computer vision system, a plurality of candidate key points in the MMDE, wherein a size of each candidate key point is equal to a predetermined size, wherein a scale of each candidate key point is equal to a predetermined scale; analyzing the plurality of candidate key points to determine a set of properties for each candidate key point; comparing the sets of properties of the plurality of candidate key points; and selecting, based on the comparison, a plurality of key points from among the candidate key points.

Abstract: A system and method for generating a concept database based on at least two multimedia data elements (MMDEs). The method includes: generating at least two items from a received MMDE of the at least two 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; clustering at least two 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 including at least two 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 at least two MMDEs.

Abstract: A system and method for clustering multimedia content. The method includes: detecting at least one clustering trigger event related to at least one multimedia content element to be clustered; generating at least one signature for the at least one multimedia content element, each 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 multimedia content element cluster includes a plurality of clustered multimedia content elements sharing at least one common concept with the at least one multimedia content element; and adding, to each determined cluster, the at least one multimedia content element.

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 system and method for matching an advertisement item to a multimedia content element. The method comprises: extracting at least one multimedia content element from a personalized multimedia content channel, the personalized multimedia content channel having at least one user, wherein multimedia content elements in the personalized multimedia content channel are customized for each user; generating at least one signature of the at least one multimedia content element; searching for at least one advertisement item respective of the at least one generated signature; and causing a display of the at least one advertisement item within a display area of a user node associated with a user of the personalized multimedia content channel.

Abstract: A method and system for matching sequentially relevant content to at least one multimedia content item (MMCI) captured by a mobile device are provided. The method includes extracting at least one MMCI from the mobile device; generating a signature for the extracted at least one MMCI; matching the generated signature to a plurality of signatures of content items; and determining, based on the matching, at least one sequentially relevant content item.

Abstract: A method and system for creating a database of multimedia content elements assigned to users are provided. The method comprises receiving at least one parameter identifying a user; receiving at least one multimedia content element from a user device; generating at least one signature to the at least one multimedia content element; searching for the existence of the at least multimedia content element in a database using the least one generated signature to determine whether each of the at least one multimedia content element is an existing multimedia content element or a non-existing multimedia content element; and generating a unique identifier using the at least one parameters for each non-existing multimedia content element; assigning the generated unique identifier to its respective non-existing multimedia content element; and storing each of the non-existing multimedia content elements and their respective unique identifiers in the database.

Abstract: A method and server for analyzing a multimedia content item are provided. The method comprises receiving a multimedia content item; extracting from the multimedia content item a plurality of multimedia elements; generating at least one signature for each of the plurality of multimedia elements; for each of the plurality of multimedia elements, querying a deep-content-classification (DCC) system to identify at least one concept that matches one of the plurality of multimedia elements, wherein querying is performed using the at least one signature generated for the multimedia elements and wherein an unidentified multimedia content element does not have a matching concept; generating a context for the multimedia content item using matching concepts; and characterizing each unidentified multimedia element using the generating context and signatures of the matching concepts.

Abstract: A method and system for overlaying content on a multimedia content element. The method includes: partitioning the multimedia content element into a plurality of partitions; generating at least one signature for each partition of the multimedia content element, wherein each generated signature represents a concept; determining, based on the generated at least one signature, at least one link to content; identifying, based on the generated at least one signature, at least one of the plurality of partitions as a target area of user interest; and adding, as an overlay to the multimedia content element, the determined at least one link to content, wherein the at least one link is overlaid on the at least one target area.

Abstract: Methods and systems for generating concept structures from signature reduced clusters (SRCs) are provided. The method includes retrieving at least one SRC including a cluster of signatures respective of a plurality of multimedia data elements (MMDEs); generating at least one metadata for each signature of the cluster of signatures; identifying a number of repetitions of a metadata of the at least one generated metadata; and determining whether the number of repetitions of the metadata exceeds a predefined repetition threshold; upon determining that the number of repetitions of the metadata exceeds the predefined repetition threshold, identifying the metadata as representative of the SRC; comparing the representative metadata to metadata that is representative of at least one previously generated SRC to determine a metadata match; and upon determining the metadata match, identifying the retrieved SRC and the matching previously generated SRC as a concept structure.

Abstract: A system and method for removing contextually identical multimedia content elements. The method includes analyzing a plurality of multimedia content elements to identify at least two multimedia content elements of the plurality of multimedia content elements that are contextually identical; selecting, from among the at least two contextually identical multimedia content elements, at least one optimal multimedia content element; and removing, from a storage, all multimedia content elements of the group of contextually identical multimedia content elements other than the at least one optimal multimedia content element.