IP Library Patent Application 14224923
Patent Application
App. No. 14/224,923

SYSTEM AND METHODS THEREOF FOR GENERATION OF TAXONOMIES BASED ON AN ANALYSIS OF MULTIMEDIA CONTENT ELEMENTS

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Quick Facts
Patent No.
US None
App. No.
14/224,923
Abstract

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.

Claims (39)

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.

Assignments (3)
LICENSE Recorded Jan 31, 2022
From: CORTICA LTD.
To: CORTICA AUTOMOTIVE
Reel/Frame 058917/0479 →
AMENDMENT TO LICENSE Recorded Jan 31, 2022
From: CORTICA LTD.
To: CARTICA AI LTD.
Reel/Frame 058917/0495 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 7, 2014
From: RAICHELGAUZ, IGAL; ODINAEV, KARINA; ZEEVI, YEHOSHUA Y.
To: CORTICA, LTD.
Reel/Frame 032614/0511 →