System and method for generating a facial representation

Abstract

A system and method for generating a facial representation. The method includes identifying, via at least one data source, at least one multimedia content element; generating at least one signature for at least a portion of each identified multimedia content element, wherein each generated signature represents at least one facial concept; analyzing the generated signatures to determine a cluster of signatures of facial concepts; and generating, based on the cluster of facial concept signatures, a facial representation.

What is claimed is: 
     
         1 . A method for creating a facial representation, comprising:
 identifying, via at least one data source, at least one multimedia content element;   generating at least one signature for at least a portion of each identified multimedia content element, wherein each generated signature represents at least one facial concept;   analyzing the generated signatures to determine a cluster of signatures of facial concepts; and   generating, based on the cluster of facial concept signatures, a facial representation.   
     
     
         2 . The method of  claim 1 , wherein the facial representation includes the determined cluster of signatures. 
     
     
         3 . The method of  claim 1 , wherein the facial representation includes a list of facial features. 
     
     
         4 . The method of  claim 1 , further comprising:
 identifying a source of each multimedia content element; and   determining, based on each identified source, a context of each of the at least one multimedia content element, wherein the analysis of the generated signatures is further based on the determined contexts.   
     
     
         5 . The method of  claim 1 , further comprising:
 identifying metadata associated with each multimedia content element, wherein the analysis of the generated signatures is further based on the identified metadata.   
     
     
         6 . The method of  claim 5 , wherein the metadata associated with each multimedia content element includes at least one of: a time pointer associated with a capture of the multimedia content element, a time pointer associated with an upload of the multimedia content element, a location pointer associated with a capture of the multimedia content element, a location pointer associated with an upload of the multimedia content element, and a tag added to the multimedia content element. 
     
     
         7 . The method of  claim 1 , wherein each multimedia content element is at least one of: an image, graphics, a video stream, a video clip, an audio stream, an audio clip, a video frame, a photograph, and an image of signals. 
     
     
         8 . The method of  claim 1 , further comprising:
 associating the facial representation with a user profile.   
     
     
         9 . The method of  claim 1 , further comprising:
 querying a deep-content-classification system to find a match between at least one concept structure and the identified at least one multimedia content element.   
     
     
         10 . The method of  claim 1 , wherein each signature is generated by a signature generator system, wherein the signature generator system includes a plurality of computational cores configured to receive a plurality of unstructured data elements, each computational core of the plurality of computational cores having properties that are at least partly statistically independent of other of the computational cores, the properties are set independently of each other core. 
     
     
         11 . The method of  claim 1 , wherein each facial concept is a collection of signatures representing at least one conceptually related multimedia content element and metadata describing the concept, wherein the collection of signatures is a signature reduced cluster generated by inter-matching signatures generated for the at least one multimedia content element. 
     
     
         12 . A non-transitory computer readable medium having stored thereon instructions for causing a processing system to perform a method for generating a facial representation, wherein the instructions cause the processing system to:
 identify, via at least one data source, at least one multimedia content element;   generate at least one signature for at least a portion of each identified multimedia content element, wherein each generated signature represents at least one facial concept;   analyze the generated signatures to determine a cluster of signatures of facial concepts; and   generate, based on the cluster of facial concept signatures, a facial representation.   
     
     
         13 . A system for generating a facial representation, comprising:
 a processing system; and   a memory, wherein the memory contains instructions that, when executed by the processing system, configure the system to:   identify, via at least one data source, at least one multimedia content element;   generate at least one signature for at least a portion of each identified multimedia content element, wherein each generated signature represents at least one facial concept;   analyze the generated signatures to determine a cluster of signatures of facial concepts; and   generate, based on the cluster of facial concept signatures, a facial representation.   
     
     
         14 . The system of  claim 13 , wherein the facial representation includes the determined cluster of signatures. 
     
     
         15 . The system of  claim 13 , wherein the facial representation includes a list of facial features. 
     
     
         16 . The system of  claim 13 , wherein the system is further configured to:
 identify a source of each multimedia content element; and   determine, based on each identified source, a context of each of the at least one multimedia content element, wherein the analysis of the generated signatures is further based on the determined contexts.   
     
     
         17 . The system of  claim 13 , wherein the system is further configured to:
 identify metadata associated with each multimedia content element, wherein the analysis of the generated signatures is further based on the identified metadata.   
     
     
         18 . The system of  claim 17 , wherein the metadata associated with each multimedia content element includes at least one of: a time pointer associated with a capture of the multimedia content element, a time pointer associated with an upload of the multimedia content element, a location pointer associated with a capture of the multimedia content element, a location pointer associated with an upload of the multimedia content element, and a tag added to the multimedia content element. 
     
     
         19 . The system of  claim 13 , wherein each multimedia content element is at least one of: an image, graphics, a video stream, a video clip, an audio stream, an audio clip, a video frame, a photograph, and an image of signals. 
     
     
         20 . The system of  claim 13 , wherein the system is further configured to:
 associate the facial representation with a user profile.   
     
     
         21 . The system of  claim 13 , wherein the system is further configured to:
 query a deep-content-classification system to find a match between at least one concept structure and the identified at least one multimedia content element.   
     
     
         22 . The system of  claim 13 , further comprising:
 a signature generator system for generating the at least one signature, wherein the signature generator system includes a plurality of computational cores configured to receive a plurality of unstructured data elements, each computational core of the plurality of computational cores having properties that are at least partly statistically independent of other of the computational cores, the properties are set independently of each other core.   
     
     
         23 . The system of  claim 13 , wherein each facial concept is a collection of signatures representing at least one conceptually related multimedia content element and metadata describing the concept, wherein the collection of signatures is a signature reduced cluster generated by inter-matching signatures generated for the at least one multimedia content element.