System and method for caching of concept structures

• US 9,767,143 B2
• Filed: 11/03/2014
• Issued: 09/19/2017
• Est. Priority Date: 10/26/2005
• Status: Active Grant

• Current Assignee: Cortica Ltd.
• Original Assignee: Cortica Ltd.
• Inventors: Raichelgauz, Igal, Odinaev, Karina, Zeevi, Yehoshua Y.
• Primary Examiner(s): LEWIS, CHERYL RENEA
• Application Number:
  US14/530,918
• Publication Number:
  US 20150052166A1
• Time in Patent Office: 1,051 Days
• CPC Class Codes: G06F 16/172 Caching, prefetching or hoarding of files
• CPC Class Codes: G06F 16/24 Querying
• CPC Class Codes: G06F 16/285 Clustering or classification
• CPC Class Codes: G06F 16/41 Indexing; Data structures therefor; Storage structures
• CPC Class Codes: G06Q 30/0241 Advertisements

Abstract

A method and system for caching concept structures in a cache memory of a computing device are provided. The method includes collecting metadata related to the user of the computing device; fetching at least one concept structure that matches the collected metadata, wherein each concept structure comprises a concept metadata; and, storing the at least one fetched concept structures in the cache memory, such that responsive to a request to analyze at least one multimedia content element, a cached concept structure matching the at least one multimedia content element is provided.

Claims

1. A method for caching concept structures in a cache memory of a computing device, comprising:

collecting metadata related to a user of the computing device;

fetching at least one concept structure that matches the collected metadata, wherein each concept structure comprises a concept metadata; and

storing the at least one fetched concept structure in the cache memory such that, responsive to a request to analyze at least one multimedia content element, a cached concept structure matching the at least one multimedia content element is provided.

2. The method of claim 1, wherein the metadata is collected by at least one sensor of the computing device.

3. The method of claim 1, wherein the metadata is at least one of:

demographic information related to the user, a user'"'"'s experience, content viewed by the user, and content stored in the computing device by the user.

4. The method of claim 1, wherein the at least one concept structure is fetched from at least one of:

a deep content classification system, and a data storage.

5. The method of claim 1, wherein analyzing the at least one multimedia content element further comprises:

identifying cached concept structures that match metadata associated with the at least one multimedia content element.

6. The method of claim 5, wherein analyzing the at least one multimedia content element further comprising:

generating a signature to the at least one multimedia content element; and

matching the generated signature to signatures representing the cached concept structures.

7. The method of claim 1, wherein the 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, images of signals, medical signals, geophysical signals, subsonic signals, supersonic signals, electromagnetic signals, and infrared signals.

8. The method of claim 1, wherein the method is performed locally by the computing device.

9. The method of claim 1, wherein each concept structure includes a plurality of signature-reduced clusters and associated metadata.

10. A non-transitory computer readable medium having stored thereon instructions for causing a processing circuitry to perform a process, the process comprising:

collecting metadata related to a user of the computing device;

fetching at least one concept structure that matches the collected metadata, wherein each concept structure comprises a concept metadata; and

storing the at least one fetched concept structure in the cache memory such that, responsive to a request to analyze at least one multimedia content element, a cached concept structure matching the at least one multimedia content element is provided.

11. A system for caching concept structures in a cache memory of a computing device, comprising:

a processing circuitry; and

a memory connected to the processing circuitry, the memory containing instructions that when executed by the processing circuitry configure the system to;

collect metadata related to a user of the computing device;

fetch at least one concept structure that matches the collected metadata, wherein each concept structure comprises a concept metadata; and

store the at least one fetched concept structure in the cache memory such that, responsive to a request to analyze at least one multimedia content element, cached concept structure matching the at least one multimedia content element is provided.

12. The system of claim 11, wherein the metadata is collected by at least one sensor of the computing device.

13. The system of claim 11, wherein the metadata is at least one of:

demographic information related to the user, user'"'"'s experience, content viewed by the user, and content stored in the computing device.

14. The system of claim 11, wherein the at least one concept structure is fetched from at least one of:

a deep content classification system, and a data storage.

15. The system of claim 11, wherein the system is further configured to:

identify cached concept structures that match metadata associated with the at least one multimedia content element.

16. The system of claim 15, wherein the system is further configured to:

generate a signature to the at least one multimedia content element; and

match the generated signature to signatures representing the cached concept structures.

17. The system of claim 11, wherein the 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, images of signals, medical signals, geophysical signals, subsonic signals, supersonic signals, electromagnetic signals, and infrared signals.

18. The system of claim 11, wherein each concept structure includes a plurality of signature-reduced clusters and associated metadata.