System and method for generating analytics for entities depicted in multimedia content

A non-transitory computer readable medium having stored thereon instructions for causing a processing circuitry of a server to perform a process, the process comprising:

• accessing over a network at least one multimedia content element (MMCE);
• identifying at least one social pattern based on social linking scores of a plurality of entities indicated in a social linking graph, wherein each social pattern is identified at least by comparing one of the social linking scores to at least one predetermined social pattern threshold, wherein each social linking score is generated based on contexts of the at least one MMCE, wherein in each of the at least one MMCE at least two of the plurality of entities are depicted, wherein each context is determined based on a plurality of concepts of one of the at least one MMCE, wherein each concept matches at least one signature generated for the at least one MMCE above a predetermined threshold;
• wherein the identifying at least one social pattern further comprises:
• determining the plurality of concepts for each MMCE by a deep content classification system, wherein each concept is a collection of signatures representing MMCEs and metadata describing the concept, wherein each context of each MMCE is determined by correlating among the determined plurality of concepts of the MMCE;
• and wherein the signatures are robust to noise and distortion;
• and
• generating, based on the identified at least one social pattern, analytics for the plurality of entities depicted in the social linking graph.

A server for determining a social relativeness between at least two entities depicted in at least one multimedia content element (MMCE), comprising:

• a processing circuitry;
• and
• a memory, the memory containing instructions that, when executed by the processing circuitry, configure the server to:
• access over a network at least one multimedia content element (MMCE);
• identify at least one social pattern based on social linking scores of a plurality of entities indicated in a social linking graph, wherein each social pattern is identified at least by comparing one of the social linking scores to at least one predetermined social pattern threshold, wherein each social linking score is generated based on contexts of the at least one MMCE, wherein in each of the at least one MMCE at least two of the plurality of entities are depicted, wherein each context is determined based on a plurality of concepts of one of the at least one MMCE, wherein each concept matches at least one signature generated for the at least one MMCE above a predetermined threshold;
• wherein the identifying at least one social pattern further comprises:
• determining the plurality of concepts for each MMCE by a deep content classification system, wherein each concept is a collection of signatures representing MMCEs and metadata describing the concept, wherein each context of each MMCE is determined by correlating among the determined plurality of concepts of the MMCE;
• and wherein the signatures are robust to noise and distortion;
• and
• generate, based on the identified at least one social pattern, analytics for the plurality of entities depicted in the social linking graph.