Abstract:
A system and method for recognizing characters embedded in multimedia content are provided. The method includes extracting at least one image of at least one character from a received multimedia content item; identifying a natural language character corresponding to the at least one image of the at least one character, wherein the identification is performed by a deep content classification (DCC) system; and storing the identified natural language character in a data warehouse.
Abstract:
A system and method for generating a concept database respective of a plurality of multimedia data elements (MMDEs). The method 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; 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:
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 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:
A method and system for determining a current context of a multimedia content element are provided. The method includes receiving at least one multimedia content element from a user device; receiving at least one environmental variable related to the at least one multimedia content element; generating at least one signature for the multimedia content element; determining a context of the at least one multimedia content element based on the at least one contextual parameter; and determining the current context of the at least one multimedia content element based on at least one contextual parameter and the determined context.
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 comprises receiving from a mobile device the MMCI captured by at least one sensor of the mobile device; generating a signature for the captured MMCI; and matching at least one sequentially relevant content item respective of the signature of the captured MMCI.
Abstract:
A system and method for providing recommendations based on current user interests. The method includes identifying at least one current variable, wherein each current variable is associated with a user device or a user; determining, based on the identified at least one current variable, at least one current user interest of a user profile, the user profile including at least one contextual insight, wherein each contextual insight is based on at least one signature for at least one multimedia content element associated with the user; searching for at least one multimedia content element that matches the at least one current user interest; and causing a display of the at least one matching content item as a recommendation.
Abstract:
A method for concept based segmentation, the method may include (a) detecting an object within a region of an image; wherein the object is associated with characteristic pixels metadata that indicative of multiple examples of pixels properties of pixels that are included in at least one appearance of the object within at least one image; and (b) finding, within the region, one or more object boundaries, based on the characteristic pixels metadata.
Abstract:
A method for operating an ensemble of narrow AI agents, the method may include obtaining one or more sensed information units; determining, by a perception unit and based on the one or more sensed information units, one or more relevant narrow AI agents of the ensemble, that are relevant to a processing of the one or more sensed information units; wherein the ensemble is relevant to a first plurality of scenarios; processing the one or more sensed information units, by the one or more relevant narrow AI agents, to provide one or more narrow AI agent outputs; and processing, by an intermediate result unit, the one or more narrow AI agent outputs to provide an intermediate result; and generating a response, by a response unit, based on the intermediate result; wherein each narrow AI agent is relevant to a respective fraction of the first plurality of scenarios.
Abstract:
A method for generating a highly distinctive signature of a certain diamond, the method may include generating, based on one or more images of the certain diamond, a certain diamond signature of the certain diamond; finding, out of a group of reference diamonds, other diamonds having other diamond signatures; wherein the finding comprises calculating similarities between the certain diamond signature and reference diamond signatures of the reference diamonds of the group; and generating a new certain diamond signature that significantly differs from signatures of the other diamonds.