Abstract: Systems and methods for generating a customized augmented reality environment. A method includes causing generation of at least one signature for at least one multimedia content; causing, based on the generated at least one signature, identification of at least one matching concept, wherein each concept is a collection of signatures and metadata representing the concept; determining, based on the identified at least one matching concept, a selection of at least one augmented reality character; and generating a customized augmented reality environment, wherein the customized augmented reality environment includes each augmented reality character superimposed on the at least one multimedia content element as an overlay.

Abstract: An apparatus for identification of an input data against one or more learned signals is provided. The apparatus comprising a number of computational cores, each core comprises properties having at least some statistical independency from other of the computational, the properties being set independently of each other core, each core being able to independently produce an output indicating recognition of a previously learned signal, the apparatus being further configured to process the produced outputs from the number of computational cores and determining an identification of the input data based the produced outputs.

Abstract: A method and system for generating concept structures and taxonomies based on received multimedia data elements (MMDEs) are provided. The method comprises receiving at least one MMDE; generating at least one signature for the at least one received MMDE; matching the at least one generated signature to a plurality of clusters to find at least one matching cluster; associating the at least one generated signature with each of the at least one matching cluster; and analyzing the at least one generated signature with respect to a signature reduced cluster (SRC) of each of the at least one matching cluster to generate a taxonomy, wherein the taxonomy relates to the at least one received MMDE and an MMDE respective of each of the at least one matching cluster.

Abstract: A system and method for enriching a concept database. The method includes determining, based on at least one signature of a first multimedia data element (MMDE) and signatures of a plurality of existing concepts in the concept database, at least one first concept among the plurality of existing concepts, wherein each of the at least one first concept matches a portion of the at least one signature of the first MMDE; generating a reduced representation of the first MMDE, wherein generating the reduced representation further comprises removing the portion of the first MMDE matching the at least one first concept; comparing the reduced representation of the first MMDE to signatures representing a plurality of second MMDEs to determine a plurality of matching second MMDEs; generating, based on the reduced representation of the first MMDE and the plurality of matching second MMDEs, at least one second concept; and adding the generated at least one second concept to the concept database.

Abstract: A method and system for adding advertising content to multimedia content elements. The method comprises receiving a request from a user device to identify a multimedia content element, the request including the multimedia content element; generating at least one signature respective of the multimedia content element; identifying at least one concept matching the at least one signature; determining at least one identifier associated with the multimedia content element respective of the at least one matching concept; searching a database to identify at least one advertising content item associated with the at least one identifier; and sending the at least one advertising content item together with the at least one identifier upon determination that the at least one advertising content item is associated with the at least one identifier.

Abstract: A method for tagging multimedia content elements is provided. The method comprises receiving at least one multimedia content element from a user device; generating at least one signature for the at least one multimedia content element; generating at least one tag based on the least one generated signature, wherein the at least one tag is searchable by the user device; and sending the tag generated for the received multimedia content element to storage on the user device.

Abstract: A method and system for searching a plurality of information sources using a multimedia content element are provided. The method comprises receiving an input search query including the multimedia content element and at least one on-image gesture detected thereon; generating at least one signature for the multimedia content element; analyzing the at least one on-image gesture to determine at least one portion of the multimedia content element in which a user is interested; generating at least one signature for each of the at least one portion of the multimedia content element; generating a textual search query using the at least the one generated signature; searching the plurality of information sources using the generated textual search query; and causing the display of search results retrieved from the plurality of information sources on a user device.

Abstract: A system and method for generating an advertisement effectiveness performance score of a multimedia content element displayed in a webpage are provided. The method includes determining an advertisement context of an advertisement; analyzing metadata associated with at least one prior advertisement to determine a prior advertisement success score; determining a multimedia context of the multimedia content element displayed in the webpage; matching the advertisement context to the multimedia context to determine a context matching score; and generating an advertisement effectiveness score at least based on the prior advertisement success score and the context matching score.

Abstract: A method and system for searching for mobile applications using a multimedia content element are provided. The system comprises receiving an input search query including the multimedia content element; generating at least one signature for the at least one multimedia content element; generating a textual query using at least the one generated signature; querying at least one application distribution platform using the generated textual search query; analyzing search results returned responsive to the textual query to determine relevancy of mobile applications designated in the search results to the multimedia content element; and causing the display of mobile applications on a user device submitting the input search query.

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 for generating a large-scale database of heterogeneous speech is provided. The system comprises a processor a plurality of independent computation cores configured to generate signatures of a plurality of speech segments; a large scale database configured to maintain a plurality of transcribed multimedia signals; a memory, the memory containing instructions that, when executed by the processor, configure the system to: randomly select a plurality of speech segments from the plurality of multimedia signals, wherein each speech segment of the plurality of speech segments is of a random length; provide the plurality of speech segments to the plurality of independent computation cores for generation of the signatures; collect the signatures from the plurality of independent computation cores; and populate the large-scale database with the plurality of signatures respective of the plurality of multimedia signals.

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 detection of common patterns within unstructured data elements. The method includes searching a plurality of unstructured data elements extracted from big data sources to identify a plurality of patches; extracting the identified plurality of patches; generating, by a signature generator system, at least one signature for each patch; identifying common patterns among the at least one generated signature; clustering the signatures having the identified common patterns; and correlating the generated clusters to identify associations between the respective identified common patterns.

Abstract: A system and method for creating user profiles based on multimedia content. The method may include identifying a plurality of multimedia content elements associated with a user; generating at least one signature for each of the plurality of multimedia content elements; analyzing the at least one signature to identify at least one concept matching the multimedia content elements; generating, based on the at least one matching concept, at least one contextual insight, wherein each contextual insight indicates a preference of the user; and generating, based on the at least one contextual insight, a user profile for the user.

Abstract: A method and system for method for generating concept structures are disclosed. The method comprises receiving a request to create a new concept structure, wherein the request includes at least a multimedia data element (MMDE) related to the new concept structure; querying a deep-content-classification (DCC) system using the MMDE to find at least one sub-concept, wherein a sub-concept is a concept structure that partially matches the received MMDE; checking if the at least one sub-concept satisfies at least one predefined logic rule; generating one or more sub-concepts from the at least MMDE; and generating the new concept structure using one or more sub-concepts out of the at least one sub-concepts that satisfies the predefined logic rule.

Abstract: A system and method for at least partially completing a user profile. The method includes analyzing the user profile to identify at least one missing informational element in the user profile, wherein identifying the at least one missing element further comprises determining at least one concept based on the user profile and matching the determined at least one concept to a plurality of category concepts, each concept including a collection of signatures and metadata describing the concept, wherein each category concept is associated with at least one required informational element, wherein each missing informational element is one of the at least one required informational element that is not included in the user profile; sending a query for the missing informational element; and updating at least a portion of the user profile based on a response to the query.

Abstract: A system and method for determining a potential match candidate based on a social linking graph. The method includes: analyzing at least one multimedia content element (MMCE) to identify a first entity and a second entity in each MMCE, where the first entity is among a plurality of entities indicated by a social pattern associated with a third entity, wherein the first entity and the second entity in each MMCE are identified by generating at least one signature based on the MMCE and matching the generated at least one signature to signatures of a plurality of concepts, wherein each concept is a collection of signatures representing an entity and metadata describing the entity; and identifying the second entity as a potential match candidate for the third entity, wherein the second entity is not associated with the social pattern.

Abstract: A system and method for determining a social relativeness between at least two entities depicted in at least one multimedia content element (MMCE). The method includes analyzing at least one MMCE, wherein the analyzing further includes generating at least one signature to the at least one MMCE; identifying, based on the generated at least one signature, the at least two entities depicted in the at least one MMCE; and generating, based on the analysis, a social linking score for the at least two entities, wherein the social linking score represents a social relativeness of the at least two entities.

Abstract: A system and method for determining a precise location based on multimedia content. The method includes: analyzing a multimedia content element (MMCE), wherein the analysis further includes generating at least one signature to the MMCE; matching the generated at least one signature to at least one reference concept stored in a database, wherein each of the at least one stored concept is associated with a predetermined precise location; and identifying, based on the matching, a precise location depicted in the MMCE.

Abstract: A system and method for creating a profile for an entity. The method includes crawling through at least one web source, wherein the crawling includes identifying at least one multimedia content element (MMCE) associated with a search query in the at least one web source; analyzing the at least one MMCE, wherein the analyzing further includes generating at least one signature based on the at least one MMCE; identifying, based on the generated at least one signature, an entity associated with the at least one MMCE; determining at least one characteristic associated with the entity; and generating a profile for the entity based on the at least one characteristic.