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Automatic Video Summary and Description

  • Suh-Yin Lee
  • Shin-Tzer Lee
  • Duan-Yu Chen
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1929)

Abstract

Multimedia technology has been applied to many kinds of applications and the amount of multimedia data is growing dramatically. Especially the usage of digital video data is very popular today. Thus, content- based indexing and retrieval in video is getting more important in the future.In this paper, we investigate an efficient and reasonable solution to describe video contents, and propose an automatic generation of the summary of video contents with as least manual interaction as possible. Based on the summary of video contents, we extract the key features of the summary to represent its content and produce the description of the video content in MPEG-7 format using XML. We illustrate our approach by developing a system that can support content-based browsing and querying on the WWW.

Keywords

Motion Vector Video Content Description Scheme Scene Change Video Summary 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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6 References

  1. [2]
    Nikolaos D. Doulamis, Anastasios D. Doulamis, Yannis S. Avrithis and Stefanos D. Kollias, “Video Content Representation Using Optimal Extraction of Frames and Scenes”, IEEE conference on Image processing, Vol. 1, pp.875–879, 1998.Google Scholar
  2. [3]
    J. L. Lian, “Video Summary and Browsing Based on Story-Unit for Video-on-Demand Service,” Master thesis, National Chiao Tung University, Dept. of CSIE, June 1999.Google Scholar
  3. [4]
    J. Meng, Y. Juan, and S. F. Chang, “Scene Change Detection in a MPEG Compressed Video Sequence”, IS&T/SPIE’s Symposium on Electronic Imaging: Science & Technology, Vol. 2417, San Jose, CA, Feb. 1995.Google Scholar
  4. [5]
    B.L. Yeo and B. Liu, “Rapid Scene Analysis on compressed Video”, IEEE Transactions on Circuits and Systems for Video Technology, Vol. 5, No. 6 pp.533–544, 1995.CrossRefGoogle Scholar
  5. [6]
    M. M. Yeung and B. L. Yeo, “Video Content Characterization and Compaction for Digital Library Applications”, In IS&T/SPIE Electronic Imaging.97: Storage and Retrieval of Image and Video Database, VI SPIE 3022, pp. 310–321, 1997.Google Scholar
  6. [7]
    M. M. Yeung and B. L. Yeo, “Video Visualization for Compact Presentation of Pictorial Content”, IEEE Transactions on Circuits and Systems for Video Technology, Vol. 7, No. 5, pp. 771–7785, Oct. 1997.CrossRefGoogle Scholar
  7. [8]
    M. M. Yeung, B. L. Yeo, and B. Liu, “Extracting Story Units from Long Programs for Video Browsing and Navigation,” Proc. IEEE Conf. on Multimedia Computing and Systems, pp. 296–305, 1996.Google Scholar
  8. [9]
    M. Yeung, B. L. Yeo, and B. Liu, “Video Browsing using clustering and scene transitions on compressed sequences,” Proc. IEEE Conf. on Multimedia Computing and Systems, 1996.Google Scholar
  9. [10]
    Man-Kwan Shan, Shh-Yin Lee, “Content-Based Retrieval of Multimedia Document Systems”, PHD thesis, National Chiao Tung University, Dept. of CSIE, June 1998.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2000

Authors and Affiliations

  • Suh-Yin Lee
    • 1
  • Shin-Tzer Lee
    • 1
  • Duan-Yu Chen
    • 1
  1. 1.Department of Computer Science And Information EngineeringNational Chiao Tung UniversityHsinchiTaiwan

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