System and method for contextually enriching a concept database
A system and method for contextually 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 third concepts stored in the concept database, at least one matching first concept among the plurality of third concepts; generating a reduced representation of the first MMDE; comparing the reduced representation of the first MMDE to signatures representing a plurality of second MMDEs to determine a plurality of matching MMDEs among the plurality of second MMDEs; generating, based on the reduced representation of the first MMDE and the signatures representing the plurality of matching MMDEs, a second concept; and generating at least one context based on the second concept and the plurality of third concepts, wherein each context includes at least one common pattern among the second concept and at least one of the plurality of third concepts.
1. A method for contextually enriching a concept database, comprising:
determining, based on at least one signature of a first multimedia data element (MMDE) and signatures of a plurality of third concepts stored in the concept database, at least one first concept among the plurality of third concepts, wherein each of the at least one first concept matches at least a portion of the at least one signature of the first MMDE;
generating a reduced representation of the first MMDE, wherein the reduced representation does not represent the at least a 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 MMDEs among the plurality of second MMDEs;
generating, based on the reduced representation of the first MMDE and the signatures representing the plurality of matching MMDEs, a second concept; and
generating at least one context based on the second concept and the plurality of third concepts, wherein each context includes at least one common pattern among the second concept and at least one of the plurality of third concepts.
2. The method of claim 1 , wherein generating the at least one context further comprises:
analyzing associations among the second concept and the plurality of third concepts.
3. The method of claim 2 , wherein analyzing the associations further comprises:
correlating the second concept with each of the third concepts.
4. The method of claim 3 , wherein the correlation includes comparing the second concept and one of the plurality of third concepts with respect to at least one of: ratio of sizes, ratio of angles, ratio of scale, location, and orientation.
5. The method of claim 1 , wherein each context is generated based on a matrix of co-occurrences among the second concept and the plurality of third concepts.
6. The method of claim 5 , wherein each context is generated with respect to threshold number of co-occurrences in the matrix.
7. The method of claim 1 , wherein each MMDE is at least one of: an image, a graphic, a video stream, a video clip, a video frame, a photograph, and an image of signals.
8. The method of claim 1 , wherein each concept is a collection of signatures and metadata representing the concept.
9. The method of claim 1 , wherein each signature is generated by a signature generator system, wherein the signature generator system includes a plurality of at least statistically independent computational cores, wherein the properties of each core are set independently of the properties of each other core.
10. A non-transitory computer readable medium having stored thereon instructions for causing a processing circuitry to perform a process, the process comprising:
determining, based on at least one signature of a first multimedia data element (MMDE) and signatures of a plurality of third concepts stored in the concept database, at least one first concept among the plurality of third concepts, wherein each of the at least one first concept matches at least a portion of the at least one signature of the first MMDE;
generating a reduced representation of the first MMDE, wherein the reduced representation does not represent the at least a 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 MMDEs among the plurality of second MMDEs;
generating, based on the reduced representation of the first MMDE and the signatures representing the plurality of matching MMDEs, a second concept; and
generating at least one context based on the second concept and the plurality of third concepts, wherein each context includes at least one common pattern among the second concept and at least one of the plurality of third concepts.
11. A system for enriching a concept database, comprising:
a processing circuitry; and
a memory, the memory containing instructions that, when executed by the processing circuitry, configure the system to:
determine, based on at least one signature of a first multimedia data element (MMDE) and signatures of a plurality of third concepts stored in the concept database, at least one first concept among the plurality of third concepts, wherein each of the at least one first concept matches at least a portion of the at least one signature of the first MMDE;
generate a reduced representation of the first MMDE, wherein the reduced representation does not represent the at least a portion of the first MMDE matching the at least one first concept;
compare the reduced representation of the first MMDE to signatures representing a plurality of second MMDEs to determine a plurality of matching MMDEs among the plurality of second MMDEs;
generate, based on the reduced representation of the first MMDE and the signatures representing the plurality of matching MMDEs, a second concept; and
generate at least one context based on the second concept and the plurality of third concepts, wherein each context includes at least one common pattern among the second concept and at least one of the plurality of third concepts.
12. The system of claim 11 , wherein the system is further configured to:
analyze associations among the second concept and the plurality of third concepts.
13. The system of claim 12 , wherein the system is further configured to:
correlate the second concept with each of the at least one of the plurality of third concepts.
14. The system of claim 13 , wherein the correlation includes comparing the second concept and one of the plurality of third concepts with respect to at least one of: ratio of sizes, ratio of angles, ratio of scale, location, and orientation.
15. The system of claim 11 , wherein each context is generated based on a matrix of co-occurrences among the second concept and the plurality of third concepts.
16. The system of claim 15 , wherein each context is generated with respect to threshold number of co-occurrences in the matrix.
17. The system of claim 11 , wherein each MMDE is at least one of: an image, a graphic, a video stream, a video clip, a video frame, a photograph, and an image of signals.
18. The system of claim 11 , wherein each concept is a collection of signatures and metadata representing the concept.
19. The system of claim 11 , wherein each signature is generated by a signature generator system, wherein the signature generator system includes a plurality of at least statistically independent computational cores, wherein the properties of each core are set independently of the properties of each other core.
20. The system of claim 19 , further comprising:
the signature generator system.