Break-Segment Detection and Recognition in Broadcasting Video/Audio Based on C/S Architecture

  • Xiangdong Wang
  • Xinhui Li
  • Yuelian Qian
  • Ying Yang
  • Shouxun Lin
Part of the Studies in Computational Intelligence book series (SCI, volume 214)

Abstract

A novel scheme for break-segment detection and recognition in broadcasting video/audio based on client/server architecture is proposed, where breaksegments are referred to as segments inserted between or within main programs such as commercials, upcoming program announcements, head leader and closing credits of programs, etc. At the server-end, a break-segment database is initially generated and thereafter updated by results of repetition detection. The clients get the latest break-segment database from the server through network and recognize the break-segments in the database. For both repetition detection and recognition, only the audio signal is processed using the feature EEUPC and corresponding similarity measurement and matching algorithm, achieving much higher efficiency than current methods. Experimental results demonstrate high accuracy and efficiency of the proposed framework.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Xiangdong Wang
    • 1
  • Xinhui Li
    • 1
    • 2
  • Yuelian Qian
    • 1
  • Ying Yang
    • 3
  • Shouxun Lin
    • 1
  1. 1.Institute of Computing TechnologyChinese Academy of SciencesBeijingChina
  2. 2.Graduate University of Chinese Academy of SciencesBeijingChina
  3. 3.China Agricultural UniversityBeijingChina

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