The Research of Key Frame Extraction Technique Based on Video Content

Article Preview

Abstract:

Key frame extraction is the precondition and fundamental of the video retrieval and video analysis. The method of key frame extraction determines the final result of video analysis. Firstly, the paper introduced the basic theories and principles of the Key frame extraction technology. Secondly, examined the typical method of key frame extraction techniques of video based on non-compression domain and compression-domain in detailed, at the same time, the evaluation and comparisons of the methods are made by experimental. Thirdly, the summarization is given and the prospection of Key frame extraction in the future is made in the end of paper.

You might also be interested in these eBooks

Info:

Periodical:

Key Engineering Materials (Volumes 474-476)

Pages:

760-763

Citation:

Online since:

April 2011

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2011 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Zabih, R, Miller, J and Mai, K. A Feature-based Algorithm for Detecting and Classifying Scence Breaks. San Francisco, CA: Proc ACM Multimedia 95, November 1993, pp.189-200.

DOI: 10.1145/217279.215266

Google Scholar

[2] Udea, H, Miyatake, T and Yoshizawa,S. IMPACT: An Integrated Natural-motion-picture Dedicated Multimedia Authoring System. New York: in proceedings of ACM, 1991, PP343-350.

Google Scholar

[3] H.J. Zhang, C.Y. Low, and S. W. Smoliar, Video parsing and browsing using compressed data, Multimedia Tools App1. 1, 1995, 91-113.

DOI: 10.1007/bf01261227

Google Scholar

[4] Y.J. Zhang, and H.B. Lu, a hierarchical organization scheme for video data, pattern recognition, 2002, vol. 35, no. 11, pp.2381-2387.

DOI: 10.1016/s0031-3203(01)00189-3

Google Scholar

[5] Hong Jiang Zhang, Jianhua Wu, and Di Zhong, an integrated system for conten- based video retrieval and browsing, pattern recognition, 1997, vol. 30, no. 4, pp.643-658.

DOI: 10.1016/s0031-3203(96)00109-4

Google Scholar

[6] Ramprasath Dorairaj  and Namuduri, K. R, Compact combination of MPEG-7 color and texture descriptors for image retrieval, Conference record of the Thirty-eighth Asilomar Conference on Signals, Systems & Computers . Vol. 1, pp.387-391, (2004).

DOI: 10.1109/acssc.2004.1399159

Google Scholar

[7] T. Sikora, The MPEG-7 visual standard for content description-an overview, IEEE Transactions on Circuits and Systems for Video Technology, Vol. 11, no. 6, pp.696-702, (2001).

DOI: 10.1109/76.927422

Google Scholar

[8] Manjunath B.S., Ohm, J. -R. and Vasudevan, V.V., Color and texture descriptors, IEEE Transactions on Circuits and Systems for Video Technology. Vol, 11, no. 6, pp.703-715, (2001).

DOI: 10.1109/76.927424

Google Scholar

[9] Sarah De Bruyne, Davy Van Deursen, and Jan De Cock, 2008. A comprssed-domain approach for shot boundary detection on H. 264/AVC bit streams, Singnal Processing: Image.

DOI: 10.1016/j.image.2008.04.012

Google Scholar

[10] Wen-Nung Lie and Chun-Ming Lai, 2004. news video summarization based on spatial and motion feature alalysis, Proc. Of Pacific-rim conf. On multimedia (PCM'04), Tokyo, Japan, Nov.

Google Scholar