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Key frame extraction based on information entropy and edge matching rate

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5 Author(s)
Liping Ren ; School of Information Science and Engineering, Lanzhou University Lanzhou, China, 730000 ; Zhiyi Qu ; Weiqin Niu ; Chaoxin Niu
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This paper presents a new approach for key frame extraction based on the image information entropy and edge matching rate. Firstly, the information entropy of every frame is calculated, and then the edges of the candidate key frames are extracted by Prewitt operator. At last, the paper makes the edges of adjacent frames match. If the edge matching rate is up to 50%, the current frame is deemed to the redundant key frame and should be discarded. The experimental results show that the method proposed in this paper is accurate and effective for key frame extraction, and the extracted key frames can be a good representative of the main content of the given video.

Published in:

Future Computer and Communication (ICFCC), 2010 2nd International Conference on  (Volume:3 )

Date of Conference:

21-24 May 2010