System and method for identifying a target area in a multimedia content element

Patent metadata

Field	Value
Publication number	US-9558449-B2
Application number	US-201414530913-A
Country	US
Kind code	B2
Filing date	Nov 3, 2014
Priority date	Oct 26, 2005
Publication date	Jan 31, 2017
Grant date	Jan 31, 2017

Abstract

A system and method for detecting a target area of user interest within a multimedia content element are provided. The method includes receiving the multimedia content element from a user computing device; partitioning the multimedia content element into a number of partitions, each partition having at least one object therein; generating at least one signature for each partition of the multimedia content element, wherein each of the at least one signatures for each partition represents a concept; determining a context of the multimedia content element based on the concepts; and identifying at least one partition of the multimedia content as a target area of user interest based on the context of the multimedia content element.

First claim

What is claimed is:

1. A method for detecting a target area of user interest within a multimedia content element of a web page, comprising:
receiving, over a network, an indication of the multimedia content element from a user computing device communicatively coupled to the network;
partitioning the multimedia content element into a number of partitions, each partition having at least one object therein;
generating at least one signature for each partition of the multimedia content element, wherein each of the at least one signature for each partition represents a concept corresponding to one of the at least one object within the multimedia content element partition;
determining a context of the multimedia content element based on the concepts; and
identifying at least one partition of the multimedia content as a target area of user interest based on the context of the multimedia content element.

2. The method of claim 1 , wherein identifying at least one target area of user interest comprises:
receiving at least one personal variable related to a user; and
finding a correlation above a predetermined threshold between the at least one personal variable and the at least one signature.

3. The method of claim 2 , wherein the personal variable is at least one of: a user profile, demographic information related to the user of the user device, a user experience, and a combination thereof.

4. The method of claim 1 , wherein the concept is an abstract description of a multimedia content element for which the signature is generated.

5. The method of claim 1 , further comprising:
storing in a data warehouse the at least one determined context.

6. The method of claim 1 , wherein determining the context of the multimedia content element further comprises:
correlating the concepts using at least one probabilistic model.

7. The method of claim 1 , wherein the at least one signature is robust to noise and distortions.

8. The method of claim 1 , wherein the computing device is a wearable computing device.

9. 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, and portions thereof.

10. A non-transitory computer readable medium having stored thereon instructions for causing one or more processing units to execute the method according to claim 1 .

11. A system for detecting a target area of user interest within at least one multimedia content element of a web page, comprising:
a processor communicatively connected to a network;
a memory connected to the processing system, the memory containing instructions that, when executed by the processing system, configure the system to:
receive, over the network, an indication of the at least one multimedia content element from a user computing device communicatively coupled to the network;
partition the multimedia content element into a number of partitions, each partition having at least one object therein;
generate at least one signature for each partition of the multimedia content elements, wherein each of the at least one signatures for each partition represents a concept corresponding to one of the at least one object within the multimedia content element partition;
determine a context of the multimedia content element based on the concepts; and
identify at least one partition of the multimedia content as a target area of user interest based on the context of the multimedia content element.

12. The system of claim 11 , wherein the system is further configured to:
receive at least one personal variable related to a user; and
find a correlation above a predetermined threshold between the at least one personal variable and the at least one signature.

13. The system of claim 12 , wherein the personal variable is at least one of: a user profile, demographic information related to the user of the user device, a user experience, a combination thereof.

14. The system of claim 11 , wherein the concept is an abstract description of a multimedia content element for which the signature is generated.

15. The system of claim 11 , further comprising:
a data warehouse for storing the at least one determined context.

16. The system of claim 11 , wherein the system is further configured to
correlate the concepts using at least one probabilistic model.

17. The system of claim 11 , wherein the at least one signature is robust to noise and distortions.

18. The system of claim 11 , wherein the computing device is a wearable computing device.

19. The system of claim 11 , wherein each of 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, and portions thereof.

20. The system of claim 11 , wherein the signature generator system (SGS) further comprises a plurality of computational cores enabled to receive the at least one multimedia content element, each computational core of the plurality of computational cores having properties that are at least partly statistically independent of other of the computational cores, i.e., the properties are set independently of each other core.

Assignees

• Cortica Ltd

Inventors

• Raichelgauz Igal
• Odinaev Karina
• Zeevi Yehoshua Y

Classifications

• G06N7/01

  Probabilistic graphical models, e.g. probabilistic networks · CPC title

• H04N21/25891

  being end-user preferences (retrieval of video data in a video database based on user preferences G06F16/739; arrangements for recognizing users' preferences H04H60/46; user profiles in network data switching protocols H04L67/306; processing of user preferences or user profiles in wireless networks H04W8/18) · CPC title

• H04N21/8106

  involving special audio data, e.g. different tracks for different languages · CPC title

• G06Q30/0263

  based upon Internet or website rating · CPC title

• H04H60/37

  for identifying segments of broadcast information, e.g. scenes or extracting programme ID · CPC title