IP Library Granted Patent US 9,953,032
Granted Patent B2
US 9,953,032 · App. 14/302,487 · Granted Apr 24, 2018

System and method for characterization of multimedia content signals using cores of a natural liquid architecture system

Inventors: Igal Raichelgauz (New-York, NY); Karina Odinaev (New-York, NY); Yehoshua Y. Zeevi (Haifa, IL)
Assignee: Cortica, Ltd.
G06F17/3002
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Quick Facts
Patent No.
US 9,953,032
App. No.
14/302,487
Granted
Apr 24, 2018
Kind
B2
Abstract

A method and system for characterization of multimedia content inputs using cores of a natural liquid architecture are provided. The method comprises receiving at least one multimedia content signal; generating at least a signature respective of the multimedia content signal; matching the generated at least a signature respective of the multimedia content signal to at least a signature from a Signature Database (SDB); identifying a cluster respective of the generated at least a signature; and identifying in a Concept Database (CDB) a concept respective of the cluster.

Claims (39)

1. A system for characterization of multimedia content inputs using a plurality of computational cores of a natural liquid architecture, comprising:

a processing element, wherein the processing element further comprises an ensemble of randomly and independently generated heterogeneous computational cores;

a signature data base (SDB) for storing at least one signature for a multimedia content input and a concept database (CDB) for storing at least one concept, wherein the concept includes a collection of signatures, each signature representing a multimedia content input, and metadata describing the concept;

an interface coupled to the processing element, wherein the interface is configured to receive at least one multimedia content input; and

a memory communicatively connected to the processing element, wherein the memory contains instructions that, when executed by the processing element, configure the system to:

receive a multimedia content input;

generate a signature respective of the multimedia content input;

match the signature to at least one signature from the SDB;

identify a cluster respective of the generated signatures;

identify at least one concept respective of the cluster in the CDB; and

characterize the multimedia content input based in part on metadata describing the at least one identified concept.

2. The system of claim 1 , wherein the at least one multimedia content input is at least one of: a digital representation of an audio signal, and a direct feed from at least one microphone device.

3. The system of claim 2 , wherein a plurality of audio signals is received respective of a single source.

4. The system of claim 2 , wherein the signature is generated respective of the entire audio signal, a part of the audio signal, or a combination of entire or partial audio signals.

5. The system of claim 1 , wherein the at least one multimedia content input is at least one of: a digital representation of a video signal, and a direct feed from at least one camera device.

6. The system of claim 5 , wherein a plurality of video signals is received respective of a single source.

7. The system of claim 5 , wherein the signature is generated respective of the entire video signal, a part of the video signal, or a combination of entire or partial video signal.

8. The system of claim 1 , wherein the signature is either partially matched or fully matched to at least one signature from the SDB.

9. A method for characterization of multimedia content inputs using cores of a natural liquid architecture, comprising:

receiving at least one multimedia content input;

generating at least a signature respective of the multimedia content input, wherein the at least a signature is generated by an ensemble of randomly and independently generated heterogeneous computational cores;

matching the generated at least a signature respective of the multimedia content input to at least a signature from a Signature Database;

identifying a cluster respective of the generated at least a signature; and

identifying in a Concept Database (CDB) a concept respective of the cluster, wherein the concept includes a collection of signatures, each signature representing an a multimedia content input, and metadata describing the concept; and

characterizing the multimedia content input based in part on metadata describing the at least one identified concept.

10. The method of claim 9 , wherein the at least one multimedia content input is at least one of: a digital representation of an audio signal, and a direct feed from at least one microphone device.

11. The method of claim 10 , wherein a plurality of audio signals is received respective of a single source.

12. The method of claim 10 , wherein the signature is generated respective of the entire audio signal, a part of the audio signal, or a combination of entire or partial audio signal.

13. The method of claim 9 , wherein the at least one multimedia content input is at least one of: a digital representation of a video signal, and a direct feed from at least one camera device.

14. The method of claim 13 , wherein a plurality of video signals is received respective of a single source.

15. The method of claim 13 , wherein the signature is generated respective of the entire video signal, a part of the video signal, or a combination of entire or partial video signal.

16. The method of claim 9 , wherein the signature is either partially matched or fully matched to at least one signature from the SDB.

17. A non-transitory computer readable medium having stored thereon instructions for causing a processing circuitry to execute a process, the process comprises:

receiving at least one multimedia content input;

generating at least a signature respective of the multimedia content input, wherein the at least a signature is generated by an ensemble of randomly and independently generated heterogeneous computational cores;

matching the generated at least a signature respective of the multimedia content input to at least a signature from a Signature Database;

identifying a cluster respective of the generated at least a signature; and

identifying in a Concept Database (CDB) a concept respective of the cluster, wherein the concept includes a collection of signatures, each signature representing a multimedia content input, and metadata describing the concept; and

characterizing the multimedia content input based in part on metadata describing the at least one identified concept.

Assignments (4)
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 22, 2019
From: RAICHELGAUZ, IGAL; ODINAEV, KARINA; ZEEVI, YEHOSHUA Y
To: CORTICA LTD
Reel/Frame 048949/0188 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jun 12, 2014
From: RAICHELGAUZ, IGAL; ODINAEV, KARINA; ZEEVI, YEHOSHUA Y
To: CORTICA, LTD.
Reel/Frame 033087/0104 →
Priority Claims (3)
IL 171577 · Oct 26, 2005 · national
IL 173409 · Jan 29, 2006 · national
IL 185414 · Aug 21, 2007 · national
Continuity (15)
Continuation In Part 13602858 · Sep 4, 2012
Continuation 12603123 · Oct 21, 2009
Continuation In Part 12084150
Continuation In Part 12195863 · Aug 21, 2008
Continuation In Part 12084150 · Apr 7, 2009
Continuation In Part 12348888 · Jan 5, 2009
Continuation In Part 12084150 · Apr 7, 2009
Continuation In Part 12195863 · Aug 21, 2008
Continuation In Part 12538495 · Aug 10, 2009
Continuation In Part 12084150 · Apr 7, 2009
Continuation In Part 12195863 · Aug 21, 2008
Continuation In Part 12348888 · Jan 5, 2009
Provisional Application 61833932 · Jun 12, 2013
Provisional Application 61833931 · Jun 12, 2013
Related Publication 20140297682A1 · Oct 2, 2014