Browse > Article

Video Summary Technique using Content Curve in MPEG Compressed Domain  

Kim, Tae-Hee (인하대학교 전자공학과)
Lee, Woong-Hee (인하대학교 전자공학과)
Jeong, Dong-Seok (인하대학교 전자공학과)
Abstract
This paper proposes a method to extract the content curve that reflects changes in video content from the MPEG video in the compressed domain, and also describes a video summary generation technique which can read video effectively and rapidly from the content curve. Existing video summary techniques have a disadvantage of taking significant amount of time to generate the video summary due to complex calculations in the decoding process. Moreover, the existing techniques, which use video content curve, require to perform many calculations to process the high dimensional content curve. However, the proposed technique generates video summary fast via the linear approximation of the proposed curve, after extraction the two dimensional content curve directly. In addition, the proposed technique has a merit that the user can set any number of key-frames and amount of calculation that form the video summary.
Keywords
Citations & Related Records
연도 인용수 순위
  • Reference
1 Ying Li et al, 'An Overview of Video Abstraction Techniques,' HP Laboratory TechnicaI Report, HPL-2001-191, JUL. 2001
2 B. Gunsel, A. M. Tekalp. 'Content-based video abstraction,' IEEE Proceedings of International Conference on Image Processing, pp.769-774, IL, USA, October 1998
3 Frederic Dufaux, 'Key frame selection to represent a video,' IEEE Proceedings of International Conference on Image Processing, Vol. 2, pp. 275 -278, 2000
4 Yihong Gong, Xin Liu, 'Video summarization with minimal visual content redundancies,' IEEE Proceedings of International Conference on Image Processing, Vol. 2, pp. 362-365, 2001
5 F. Arman, R. Depommier, A. Hsu and M. Y. Chiu, 'Content based browsing of video sequence,' Proc. of ACM Multimedia, pp. 97-103, AUG. 1994
6 E. K. Kang, S. J. Kim, J. S. Choi, 'Video Retrieval based on Scene Change Detection in Compressed Streams', IEEE Trans. Consumer Electronics, Vol. 45, No. 3, pp. 932-936, Aug., 1999   DOI   ScienceOn
7 Tae-Hee Kim, Woong-Hee Lee and Dong-Seok Jeong, 'Automatic Video Genre Identification Method in MPEG compressed domain,' Proceedings of ITC-CSCC '2002 International Conference, pp. 1527-1530, Phuket, JUL. 2002
8 Jeho Nam, Ahmed H. Tewfik, 'Video Abstract Of Video,' IEEE 3rd Workshop on Multimedia Signal Processing, pp. 117-122, 1999
9 Deniel DeMenthon, Vikrant Kobla, DavidDoennann, 'Video Summarization by Curve Simplification,' The 6th ACM International Multimedia Conference, pp. 211-218, 1998
10 Y. Taniguchi, 'An intuitive and efficient access interface to real-time incoming video based on automatic indexing,' Proc. of ACM Multimedia, pp. 25-33, NOV. 1995
11 ISO/IEC 11172-2, 'Information technology - generic coding of moving pictures and associated audio for digital storage media at up to aboutl.5mbit/s - part - 2: Video,' 1993
12 W. H. Ptess, B. P. Flannery, S. A. Teukolsky, W.T. Vetterling, Numerical Recipes in C, The Art of Scientific Computing, Cambridge Univ. Press, 1988
13 Yihong Gong, Xin Liu 'Video summarization using singular value decomposition,' IEEE Proceedings of Conference on Computer Vision and Pattern Recognition, Vol. 2, pp. 174-180, 2000