System and method for video recommendation based on video frame features

• US 20080222120A1
• Filed: 03/08/2007
• Published: 09/11/2008
• Est. Priority Date: 03/08/2007
• Status: Abandoned Application

• Current Assignee: Sony Corporation (Sony Group Corp.), Sony Electronics Inc. (Sony Group Corp.)
• Original Assignee: Sony Corporation (Sony Group Corp.), Sony Electronics Inc. (Sony Group Corp.)
• Inventors: Lin, Frank Li-De, Hwang, Paul Jin, Georgis, Nikolaos
• Application Number:
  US11/715,803
• Publication Number:
  US 20080222120A1
• Time in Patent Office: Days
• US Class Current: 707/4
• CPC Class Codes: G06F 16/785 using colour or luminescence
• CPC Class Codes: G06F 16/786 using motion, e.g. object motion or camera motion

Abstract

Video recommendations are generated based on video features such as motion vectors, color saturation, and scene changes.

Claims

1. A method for recommending video content, comprising:

processing respective sequences of video frames from plural candidate vide streams;

extracting non-metadata video features from the sequences; and

based at least in part on at least some of the video features, returning at least one of the candidate video streams as a recommendation.

2. The method of claim 1, wherein the video features include scene changes.

3. The method of claim 1, wherein the video features include color saturation.

4. The method of claim 1, wherein the video features include motion vectors.

5. The method of claim 1, further comprising selecting a subset of the video features, only the subset being used to return at least one of the candidate video streams as a recommendation.

6. The method of claim 5, wherein a training set of features is used as part of the selecting act.

7. The method of claim 1, comprising using both non-metadata video features from the sequences and at least one criterion selected from the group of:

metadata, or audio features, to return at least one of the candidate video streams as a recommendation.

8. A system comprising:

at least one source of candidate videos; and

at least one computer receiving the candidate videos and executing logic comprising;

extracting video features from the videos; and

using the video features and information related to a user'"'"'s video preferences, providing a recommendation to the user of at least one of the candidate videos.

9. The system of claim 8, wherein the video features include scene changes.

10. The system of claim 8, wherein the video features include color saturation.

11. The system of claim 8, wherein the video features include motion vectors.

12. The system of claim 8, wherein the computer selects a subset of the video features, only the subset being used to return at least one of the candidate videos as a recommendation.

13. The system of claim 12, wherein the computer uses a training set of features as part of selecting a subset of features.

14. The system of claim 8, wherein the computer uses both non-metadata video features from the sequences and at least one criterion selected from the group of:

metadata, or audio features, to return at least one of the candidate videos as a recommendation.

15. A computer readable medium bearing computer-executable instructions embodied as:

means for extracting non-metadata, non-audio features from plural candidate video units; and

means for processing the non-metadata, non-audio features from plural candidate video units to generate at least one recommended video unit that matches a user'"'"'s preferences.

16. The medium of claim 15, wherein the non-metadata, non-audio features include motion vectors.

17. The medium of claim 15, wherein the non-metadata, non-audio features include color saturation.

18. The medium of claim 15, wherein the non-metadata, non-audio features include scene changes.

19. The medium of claim 15, further comprising means for selecting a subset of the video features, only the subset being used to return a recommendation.

20. The medium of claim 15, comprising means for using both the non-metadata, non-audio features and at least one criterion selected from the group of:

metadata, or audio features, to return at least one of the candidate video units as a recommendation.