Generating a platform for social interaction

• US 9,172,764 B2
• Filed: 03/05/2014
• Issued: 10/27/2015
• Est. Priority Date: 03/05/2014
• Status: Active Grant

• Current Assignee: Ricoh Company Limited
• Original Assignee: Ricoh Company Limited
• Inventors: Chand, Ashootosh, Shekar, Bharathi, Kotak, Yash, Suchanti, Ankit
• Primary Examiner(s): Tran, Phuoc
• Application Number:
  US14/198,503
• Publication Number:
  US 20150256633A1
• Time in Patent Office: 601 Days
• Field of Search: None
• US Class Current: 1/1
• CPC Class Codes: G06F 2218/12 Classification; Matching
• CPC Class Codes: G06Q 50/01 Social networking
• CPC Class Codes: H04L 65/4038 with floor control
• CPC Class Codes: H04L 65/765 intermediate
• CPC Class Codes: H04N 21/251 Learning process for intelligent management, e.g. learning user preferences for recommending movies details of learning user preferences for the retrieval of video data in a video database G06F16/739; computer systems using learning methods G06N3/08
• 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 21/4788 communicating with other users, e.g. chatting arrangements for providing for computer conferences, e.g. chat rooms, to substation in data switching networks H04L12/1813; distributed application using peer-to-peer [P2P] networks H04L67/104
• CPC Class Codes: H04N 21/8153 comprising still images, e.g. texture, background image

Abstract

The disclosure includes a system and method for identifying discussion groups related to a video that a user would find to be interesting. A recognition application receives a captured image from a user, identifies an indexed image that matches the captured image, identifies a timestamp for the indexed image, determines a segment in the video that encompasses the timestamp, determines whether the user is interested in the segment of the video based on the timestamp and a user profile and provides suggested discussion groups to the user that are ranked based on what the user is interested in.

Claims

1. A computer-implemented method comprising:

receiving, with one or more processors, a captured image from a user;

identifying, with the one or more processors, an indexed image that matches the captured image;

identifying, with the one or more processors, a timestamp for the indexed image;

determining, with the one or more processors, a segment in a video that encompasses the timestamp;

determining, with the one or more processors, whether the user is interested in the segment of the video based on the timestamp and a user profile; and

providing, with the one or more processors, suggested discussion groups to the user that are ranked based on what the user is interested in.

2. The method of claim 1, further comprising generating segments within the video based on a frequency of captured images as a function of time.

3. The method of claim 1, further comprising generating segments within the video based on image features.

4. The method of claim 1, further comprising:

identifying a source of the captured image; and

determining the timestamp of the captured image in the video.

5. The method of claim 1, further comprising indexing each image associated with the video.

6. The method of claim 5, further comprising:

identifying products from each image;

determining product categories for the products; and

wherein indexing each image associated with the video includes indexing the products in each image according to the product categories.

7. The method of claim 1, further comprising generating the user profile for the user, wherein the user profile includes at least one of the group of user demographics, user interests and metadata associated with the captured image.

8. The method of claim 1, further comprising determining a collection of advertisements based at least in part on the user profile.

9. A system comprising:

one or more processors;

a processing unit stored on a memory and executable by the one or more processors, the processing unit configured to receive a captured image from a user;

a matching engine coupled to the processing unit and configured to identify an indexed image that matches the captured image and identify a timestamp for the indexed image;

a segment engine coupled to the processing unit and configured to determine a segment in a video that encompasses the timestamp;

a user profile engine coupled to the processing unit and configured to determine whether the user is interested in the segment of the video based on the timestamp and a user profile; and

a social network engine coupled to the user profile engine and configured to provide suggested discussion groups to the user that are ranked based on what the user is interested in.

10. The system of claim 9, wherein the segment engine is further configured to generate segments within the video based on a frequency of captured images as a function of time.

11. The system of claim 9, wherein the segment engine is further configured to generate segments within the video based on image features.

12. The system of claim 9, wherein the processing unit is further configured to identify a source of the captured image and determine the timestamp of the captured image in the video.

13. The system of claim 9, further comprising a database coupled to the processing unit and configured to index each image associated with the video.

14. The system of claim 13, further comprising an advertisement engine coupled to the processing unit and configured to:

identify products from each image;

determine product categories for the products; and

wherein the database indexes each image associated with the video by indexing the products in each image according to the product categories.

15. The system of claim 9, wherein the user profile engine is further configured to generate the user profile for the user, wherein the user profile includes at least one of the group of user demographics, user interests and metadata associated with the captured image.

16. The system of claim 9, further comprising an advertisement engine coupled to the processing unit and configured to determine a collection of advertisements based at least in part on the user profile.

17. A computer program product comprising a non-transitory computer useable medium including a computer readable program, wherein the computer readable program when executed on a computer causes the computer to:

receive a captured image from a user;

identify an indexed image that matches the captured image;

identify a timestamp for the indexed image;

determine a segment in a video that encompasses the timestamp;

determine whether the user is interested in the segment of the video based on the timestamp and a user profile; and

provide suggested discussion groups to the user that are ranked based on what the user is interested in.

18. The computer program product of claim 17, wherein the computer readable program when executed on the computer further causes the computer to generate segments within the video based on a frequency of captured images as a function of time.

19. The computer program product of claim 17, wherein the computer readable program when executed on the computer further causes the computer to generate segments within the video based on image features.

20. The computer program product of claim 17, wherein the computer readable program when executed on the computer further causes the computer to index each image associated with the video.