Systems and methods for analyzing video content

• US 20070250313A1
• Filed: 04/25/2006
• Published: 10/25/2007
• Est. Priority Date: 04/25/2006
• Status: Abandoned Application

• Current Assignee: Cyberlink Corporation
• Original Assignee: Cyberlink Corporation
• Inventors: Tang, Shih-Min, Huang, Ho-Chao, Chen, Ming-Jun, Chen, Jiun-Fu
• Application Number:
  US11/410,821
• Publication Number:
  US 20070250313A1
• Time in Patent Office: Days
• US Class Current: 704/233
• CPC Class Codes: G10L 17/26 Recognition of special voice characteristics, e.g. for use in lie detectors; Recognition of animal voices
• CPC Class Codes: G10L 25/00 Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 muting semiconductor-based amplifiers when some special characteristics of a signal are sensed by a speech detector, e.g. sensing when no signal is present, H03G3/34

Abstract

Disclosed are systems, methods, and computer readable media having programs for analyzing video. In one embodiment, a method includes: detecting a plurality of whistle sounds in an audio stream of a video; and determining a video content based on a plurality of properties corresponding to the plurality of whistle sounds. In one embodiment a computer readable medium having a computer program for analyzing video includes: logic configured to generate a plurality of whistle sound patterns; logic configured to detect a whistle sound in a video; and logic configured to analyze the video using the whistle sound.

Claims

1. A system for analyzing video, comprising:

logic configured to collect sample whistle sounds corresponding to a plurality of sport types;

logic configured to determine a plurality of sample whistle features;

logic configured to generate a plurality of whistle sound patterns;

logic configured to extract a plurality of audio features corresponding to a plurality of frames in a video;

logic configured to compare the plurality of sample whistle features with the plurality of audio features to determine a plurality of whistle sounds in the video;

logic configured to determine a sport type using a type of whistle indicator;

logic configured to determine a sport type using a quantity of whistle occurrences data value; and

logic configured to determine a sport type using a time of whistle occurrences data set.

2. The system of claim 1, further comprising means for manipulating the video based on the content, the quantity of whistle occurrences data value, and the time of whistle occurrences data set.

3. A method for analyzing video, comprising:

detecting a plurality of whistle sounds in an audio stream of a video; and

determining a video content based on a plurality of properties corresponding to the plurality of whistle sounds.

4. The method of claim 3, further comprising generating a plurality of whistle sound patterns.

5. The method of claim 4, wherein the generating comprises collecting a plurality of whistle sound samples corresponding to a plurality of sports types.

6. The method of claim 4, wherein the generating further comprises collecting the plurality of whistle sound samples for the plurality of sports types.

7. The method of claim 4, wherein the generating further comprises determining a plurality of whistle sound sample features.

8. The method of claim 3, wherein the detecting comprises extracting a plurality of whistle sounds from the video.

9. The method of claim 3, wherein the detecting comprises determining a plurality of whistle sound features.

10. The method of claim 9, wherein the plurality of whistle sound features are determined for each of a plurality of frames in the video.

11. The method of claim 3, wherein the determining comprises comparing the plurality of whistle sound features with a plurality of whistle sound sample features.

12. The method of claim 3, wherein the determining further comprises classifying a sport type using a plurality of whistle sound characteristics.

13. The method of claim 12, wherein one of the plurality of whistle sound characteristics comprises a quantity of occurrences in the video.

14. The method of claim 12, wherein one of the plurality of whistle sound characteristics comprises a plurality of rhythms of whistle occurrences in the video.

15. The method of claim 12, wherein one of the plurality of whistle sound characteristics comprises a whistle duration.

16. The method of claim 12, wherein one of the plurality of whistle sound characteristics comprises a whistle tonal frequency.

17. The method of claim 3, further comprising manipulating the video based on the video content and a plurality of whistle sound characteristics.

18. A computer readable medium having a computer program for analyzing video, comprising:

logic configured to generate a plurality of whistle sound patterns;

logic configured to detect a whistle sound in a video; and

logic configured to analyze the video using the whistle sound.

19. The computer readable medium of claim 18, wherein the detect logic is configured to extract the whistle sound from the video.

20. The computer readable medium of claim 19, wherein the detect logic is further configured to determine a plurality of whistle features.

21. The computer readable medium of claim 20, wherein one of the plurality of features comprises a pitch for each of a plurality of frames.

22. The computer readable medium of claim 18, wherein the analyze logic is configured to determine a sport type using a plurality of whistle characteristics.

23. The computer readable medium of claim 22, wherein one of the plurality of whistle characteristics comprises a quantity of occurrences in the video.

24. The computer readable medium of claim 22, wherein one of the plurality of whistle characteristics comprises a plurality of rhythms of whistle occurrences in the video.

25. The computer readable medium of claim 18, further comprising logic is configured to manipulate the video using a characteristic of the whistle sound.

26. The computer readable medium of claim 18, wherein the analyze logic is configured to determine a sport type using a time interval between whistles.