Multi-resolution feature extraction for video abstraction

• US 20050198067A1
• Filed: 03/05/2004
• Published: 09/08/2005
• Est. Priority Date: 03/05/2004
• Status: Abandoned Application

• Current Assignee: Corel TW Corporation (Corel Holdings LP)
• Original Assignee: Corel TW Corporation (Corel Holdings LP)
• Inventors: Liu, Casper
• Application Number:
  US10/792,823
• Publication Number:
  US 20050198067A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06V 20/40 in video content extracting overlay text G06V20/62; video retrieval G06F16/70; processing of video elementary streams in video servers H04N21/234; processing of video elementary streams in video clients H04N21/44

Abstract

A method for feature extraction. At least a raw image of a frame in a video sequence is stored in a storage area. A request is made for an image of the frame having a desired attribute. In response to the request, one of the images of the frame having the desired attribute in the storage area is returned if possible; otherwise, an image having the desired attribute, which is transformed from one of the images of the frame in the storage area, is returned and added the storage area. A value of a feature of the frame is calculated using the returned image.

Claims

1. A method for feature extraction comprising the steps of:

storing into a storage area at least a raw image of a frame in a video sequence;

making a request for an image of the frame having a desired attribute;

in response to the request,

if possible, returning one of the images of the frame having the desired attribute in the storage area;

otherwise, returning and adding in the storage area an image having the desired attribute, which is transformed from one of the images of the frame in the storage area; and

calculating a value of a feature of the frame using the returned image.

2. The method as claimed in claim 1, wherein the attribute is image resolution.

3. The method as claimed in claim 1, wherein the feature is averaged color, averaged brightness or skin ratio.

4. The method as claimed in claim 1, wherein the feature is determined by user-input.

5. The method as claimed in claim 1, wherein the image in the storage area selected to be transformed to the returned image has the attribute of a value closest to the desired value.

6. The method as claimed in claim 1 further comprising the steps of:

storing into the storage area a raw image of a previous frame in the video sequence;

making a second request for an image of the previous frame having the desired attribute; and

in response to the second request,

if possible, returning one of the images of the previous frame having the desired attribute in the storage area;

otherwise, returning and adding into the storage area an image having the desired attribute, which is transformed from one of the images of the previous frame in the storage area;

wherein the feature is calculated further using the returned image for the second request.

7. The method as claimed in claim 6, wherein the attribute is image resolution.

8. The method as claimed in claim 6, wherein the feature is stability, motion activity or color difference.

9. The method as claimed in claim 6, wherein the feature is determined by user-input.

10. The method as claimed in claim 6, wherein the image in the storage area selected to be transformed to the returned image has the attribute of a value closest to the desired value.

11. A method for video abstraction comprising the steps of:

a) capturing one of the frames from a video sequence;

b) applying scene detection to the captured frame;

c) extracting features of the captured frame by the steps of;

c1) storing a raw image of the captured frame in a storage area;

c2) for a selected one of the features, making a request for an image of the captured frame having a desired attribute;

c3) in response to the request,

if possible, returning one of the images of the captured frame having the desired attribute in the storage area;

otherwise, returning and adding into the storage area an image having the desired attribute, which is transformed from one of the images of the captured frame in the storage area;

c4) calculating a value of the selected feature for the captured frame using the returned image; and

c5) repeating the steps c2˜

c4 until all the features are selected;

d) repeating the steps a˜

c until a transition from a current to a next scene is detected in the step b or all the frames are captured;

e) calculating a score of the current scene using the values of the features of the frames therein;

f) repeating the steps a˜

e until all the frames are captured; and

g) selecting the scenes according to the scores thereof and composing the selected scenes to yield an abstraction result.

12. The method as claimed in claim 11, wherein the attribute is image resolution.

13. The method as claimed in claim 11, wherein the feature extraction further comprises the step of:

c0) implementing the steps c1˜

c4 only if the captured frame is determined as a representative frame according to the scene detection result, otherwise, setting the value of the selected feature of the captured frame the same as that of a representative frame previously determined;

wherein the step c0 in addition to the steps c2˜

c4 is repeated in the step c5.

14. The method as claimed in claim 13, wherein the features are averaged color, averaged brightness and skin ratio.

15. The method as claimed in claim 11, wherein the features are determined by user-input.

16. The method as claimed in claim 11, wherein the image in the storage area selected to be transformed to the returned image has the attribute of a value closest to the desired value.

17. The method as claimed in claim 11, wherein the feature extraction further comprises the steps of:

c6) storing into the storage area a raw image of a previous frame;

c7) for the selected feature, making a second request for an image of the previous frame having the desired attribute; and

c8) in response to the second request,

if possible, returning one of images of the previous frame having the desired attribute in the storage area;

otherwise, returning and adding into the storage area an image having the desired attribute, which is transformed from one of the images of the previous frame in the storage area;

wherein the value of the selected feature is calculated further using the returned image for the second request in the step c4 and the steps c6˜

c8 additional to the steps c2˜

c4 are repeated in the step c5.

18. The method as claimed in claim 17, wherein the attribute is image resolution.

19. The method as claimed in claim 17, wherein the features are stability, motion activity and color difference.

20. The method as claimed in claim 17, wherein the feature is determined by user-input.

21. The method as claimed in claim 17, wherein the image in the storage area selected to be transformed to the returned image has the attribute of a value closest to the desired value.

22. A method for video abstraction comprising the steps of:

a) capturing one of the frames from a video sequence;

b) applying scene detection to the captured frame;

c) extracting a first feature of the captured frame by the steps of;

c0) implementing steps c1˜

c4 only if the captured frame is determined as a representative frame according to the scene detection result, otherwise, setting the value of the first feature of the captured frame the same as that of a representative frame previously determined,

c1) storing a raw image of the captured frame in a storage area;

c2) making a request for an image of the captured frame having a first desired attribute;

c3) in response to the request,

if possible, returning one of the images of the captured frame having the first desired attribute in the storage area;

otherwise, returning and adding the storage area an image having the first desired attribute, which is transformed from one of the images of the captured frame in the storage area; and

c4) calculating a value of the first feature for the captured frame using the returned image;

d) extracting a second feature of the captured frame by the steps of;

d0) storing into the storage area two raw images respectively of a previous and the currently captured frame;

d1) making a request for two images respectively of the previous and currently captured frames having a second desired attribute; and

d2) in response to the request and for each of the two requested images,

if possible, returning one of images of the corresponding frame having the second desired attribute in the storage area;

otherwise, returning and adding to the storage area an image having the second desired attribute, which is transformed from one of the images of the corresponding frame in the storage area; and

d3) calculating a value of the second feature for the captured frame using the two returned images;

e) repeating the steps a˜

d until a transition from a current to a next scene is detected in the step b or all the frames are captured;

f) calculating a score of the current scene using the values of the features of the frames therein;

g) repeating the steps a˜

f until all the frames are captured; and

h) selecting the scenes according to the scores thereof and composing the selected scenes to yield an abstraction result.

23. The method as claimed in claim 22, wherein the first feature is averaged color, averaged brightness or skin ratio.

24. The method as claimed in claim 22, wherein the second feature is stability, motion activity or color difference.

25. The method as claimed in claim 22, wherein the attribute is image resolution.

26. The method as claimed in claim 22, wherein the first and second features are determined by user-input.

27. The method as claimed in claim 22, wherein the image in the storage area selected to be transformed to the returned image has the attribute of a value closest to the first or second desired value.