Research on a New Key-Frame Extraction Algorithm of Printing Video

  • FuCheng You
  • YuJie Chen
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 144)

Abstract

The scenes and contents of printing video almost describes the operation, usage and running of printing machines. Based on these features of printing video, this paper introduces some approaches of key-frame extraction. In commonly used traditional algorithms, key-frame extraction algorithms based on average histogram and based on shot boundary are described in detail. Moreover, this paper proposes a novel approach of key-frame extraction based on average frame-difference. The experimental results indicate that the new approach is very effective and efficient for extracting key-frames of printing video.

Keywords

printing video HSV histogram key-frame extraction average histogram shot boundary average frame-difference 

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References

  1. 1.
    Chun, J.: Key-Frame Extraction Methods in Content Based on Video Retrieval. Journal of Information (11) (2006)Google Scholar
  2. 2.
    Feng, D.D., Siu, W.-C., Zhang, H.-J., Liu, X.-D.: Multimedia Information Retrieval and Management, pp. 26–39. Tsinghua University Press, BeijingGoogle Scholar
  3. 3.
    Zhang, Y.: Retrieval of vision information based on content. Science Press, Beijing (2003)Google Scholar
  4. 4.
    Cao, J.: Study on method of video key frame extraction. thesis of graduated. Chongqing UniversityGoogle Scholar
  5. 5.
    Zhang, Y.-J.: Image Engineering, 2nd edn. Image Understanding, pp. 383–396. Tsinghua University Press, Beijing (2008)Google Scholar
  6. 6.
    Sun, J.-D., Shan, Z.: Underlying Image Features Extraction and Retrieval Technology, pp. 49–53. Publishing House of Electronics Industry, Beijing (2009)Google Scholar
  7. 7.
    Liu, J.: Key-frame extraction technology of video retrieval. Fujian Computer (12), 49–55 (2007)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • FuCheng You
    • 1
  • YuJie Chen
    • 1
  1. 1.Information & mechanical Engineering SchoolBeijing Institute of Graphic CommunicationBeijingChina

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