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Key frame extraction based on shot coverage and distortion

Title
Key frame extraction based on shot coverage and distortion
Author
박기태
Keywords
Video Sequence; Optical Flow; Coverage Rate; Multimedia Content; Distortion Rate
Issue Date
2005-11
Publisher
SPRINGER-VERLAG BERLIN
Citation
Pacific-Rim Conference on Multimedia; PCM 2005: Advances in Multimedia Information Processing, v. 3768, Page. 291-300
Abstract
Key frame extraction has been recognized as one of the important research issues in video information retrieval. Until now, in spite of a lot of research efforts on the key frame extraction for video sequences, existing approaches cannot quantitatively evaluate the importance of extracted frames in representing the video contents. In this paper, we propose a new algorithm for key frame extraction using shot coverage and distortion. The algorithm finds significant key frames from candidate key frames. When selecting the candidate frames, the coverage rate for each frame to the whole frames in a shot is computed by using the difference between adjacent frames. The frames with the coverage rate within 10% from the top are regarded as the candidates. Then, by computing the distortion rate of a candidate against all frames, the most representative frame is selected as a key frame in the shot. The performance of the proposed algorithm has been verified by a statistical test. Experimental results show that the proposed algorithm improves the performance by 13 – 50% over the existing methods.
URI
https://link.springer.com/chapter/10.1007/11582267_26http://repository.hanyang.ac.kr/handle/20.500.11754/111754
ISBN
978-3-540-30040-3
DOI
10.1007/11582267_26
Appears in Collections:
ETC > 연구정보
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