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

• US 9,558,449 B2
• Filed: 11/03/2014
• Issued: 01/31/2017
• 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): Hill, Stanley K
• Assistant Examiner(s): Bharadwaj, Kalpana
• Application Number:
  US14/530,913
• Publication Number:
  US 20150052086A1
• Time in Patent Office: 820 Days
• Field of Search: 707/603, 386/248
• US Class Current: 1/1
• CPC Class Codes: G06F 1/163 Wearable computers, e.g. on a belt
• CPC Class Codes: G06F 16/40 of multimedia data, e.g. slideshows comprising image and additional audio data retrieval of still image data G06F16/50; retrieval of audio data G06F16/60; retrieval of video data G06F16/70
• CPC Class Codes: G06F 16/957 Browsing optimisation, e.g. caching or content distillation
• CPC Class Codes: G06F 3/04883 for inputting data by handwriting, e.g. gesture or text
• CPC Class Codes: G06F 40/134 Hyperlinking
• CPC Class Codes: G06F 40/279 Recognition of textual entities
• CPC Class Codes: G06N 5/04 Inference or reasoning models
• CPC Class Codes: G06N 7/01 Probabilistic graphical models, e.g. probabilistic networks
• CPC Class Codes: G06Q 30/0251 Targeted advertisements
• CPC Class Codes: G06Q 30/0263 based upon Internet or website rating
• CPC Class Codes: H04H 2201/90 characterised by the use of signatures
• CPC Class Codes: H04H 60/37 for identifying segments of broadcast information, e.g. scenes or extracting programme ID
• CPC Class Codes: H04H 60/46 for recognising users' preferences
• CPC Class Codes: H04H 60/56 Arrangements characterised by components specially adapted for monitoring, identification or recognition covered by groups H04H60/29-H04H60/54
• CPC Class Codes: H04N 21/25891 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 Class Codes: H04N 21/2668 Creating a channel for a dedicated end-user group, e.g. insertion of targeted commercials based on end-user profiles information retrieval from the Internet by querying with filtering and personalisation G06F16/9535; arrangements for replacing or switching information during the broadcast H04H20/10; push services over packet-switching network H04L12/1859; adaptation of message content in packet-switching networks H04L51/063
• CPC Class Codes: H04N 21/466 Learning process for intelligent management, e.g. learning user preferences for recommending movies services using the results of monitoring in broadcast systems H04H60/61
• CPC Class Codes: H04N 21/8106 involving special audio data, e.g. different tracks for different languages
• CPC Class Codes: H04N 7/17318 Direct or substantially direct transmission and handling of requests

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.

Claims

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.