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Shot Boundary Detection Algorithm in Compressed Domain Based on Adaboost and Fuzzy Theory

  • Zhi-Cheng Zhao
  • An-Ni Cai
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4222)

Abstract

A shot boundary detection algorithm based on fuzzy theory and Adaboost is proposed in this paper. According to changes of color and camera motion, videos are classified into six types. By using features in compress domain such as DCT coefficients, the type of the MB, HSV color histogram difference, camera motion difference and so on, videos are segmented into three classes, that is, cut shot, gradual shot and non-change. The results of experiment have shown that this algorithm is robust for camera motion and walk-in of large objects in videos, and have better precision of shot boundary detection compared with the classic double-threshold method and the method of presented by Kuoet al.. There is no problem of threshold selection in our algorithm but it exists in most of other algorithms.

Keywords

Camera Motion Fuzzy Theory Fuzzy Classification Adaboost Algorithm Gaussian Membership Function 
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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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Zhi-Cheng Zhao
    • 1
  • An-Ni Cai
    • 1
  1. 1.School of Telecommunication EngineeringBeijing University of Posts and TelecommunicationsBeijingChina

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