SYSTEM AND METHODS THEREOF FOR GENERATION OF TAXONOMIES BASED ON AN ANALYSIS OF MULTIMEDIA CONTENT ELEMENTS
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.
1 . A method for generating a taxonomy of a plurality of multimedia data elements (MMDEs) based on at least one MMDE, comprising:
receiving the 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;
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.
2 . The method of claim 1 , further comprising:
when at least one matching cluster is not found, performing an inter-matching process between the plurality of signatures stored in a database and the at least one generated signatures, wherein the plurality of signatures are generated for previously received MMDEs;
generating at least one cluster respective of the inter-matching results; and
analyzing the at least one generated signature with respect to a SRC of each the at least one generated cluster to produce the taxonomy.
3 . The method of claim 2 , wherein the method is performed by a DCC system.
4 . The method of claim 3 , further comprising:
saving the generated new data structure in a database communicatively connected to the deep-content-classification (DCC) system.
5 . The method of claim 3 , wherein the DCC system includes:
an attention processor (AP) for generating a plurality of items from the at least one MMDE;
a signature generator (SG) for generating at least one signature responsive to at least one MMDE; and
a concept generator (CG) for matching the at least one generated signature to a plurality of clusters to find at least one matching cluster.
6 . The method of claim 1 , wherein the at least one MMDE is at least one of: graphics, a video stream, a video clip, an audio stream, an audio clip, a video frame, a photograph, and images of signals.
7 . The method of claim 6 , wherein the images of signals are one of: medical signals, geophysical signals, subsonic signals, supersonic signals, electromagnetic signals, and infrared signals.
8 . A non-transitory computer readable medium containing instructions that, when executed, perform the method of claim 1 .
9 . A system for generating concept structures, comprising:
an interface to a network for 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;
a processor; and
a memory connected to the processor, the memory contains instructions that when executed by the processor, configure the system to:
receive the at least one MMDE;
generate at least one signature for the at least one received MMDE;
match the at least one generated signature to a plurality of clusters to find at least one matching cluster;
associate the at least one generated signature with each of the at least one matching cluster; and
analyze 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.
10 . The system of claim 9 , further configured to:
when at least one matching cluster is not found, perform an inter-matching process between the plurality of signatures stored in a database and the at least one generated signatures, wherein the plurality of signatures are generated for previously received MMDEs;
generate at least one cluster respective of the inter-matching results; and
analyze the at least one generated signature with respect to a SRC of each the at least one generated cluster to produce the taxonomy.
11 . The system of claim 10 , wherein the system further includes:
an attention processor (AP) for generating a plurality of items from the at least one MMDE;
a signature generator (SG) for generating at least one signature responsive to at least one at least one MMDE; and
a concept generator (CG) for matching the at least one generated signature to a plurality of clusters to find at least one matching cluster.
12 . The system of claim 10 , wherein the at least one MMDE is at least one of: graphics, a video stream, a video clip, an audio stream, an audio clip, a video frame, a photograph, and images of signals.
13 . The system of claim 10 , wherein the images of signals are one of: medical signals, geophysical signals, subsonic signals, supersonic signals, electromagnetic signals, and infrared signals.