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A Novel Approach for Fast and Accurate Commercial Detection in H.264/AVC Bit Streams Based on Logo Identification

  • Klaus Schöffmann
  • Mathias Lux
  • Laszlo Böszörmenyi
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5371)

Abstract

Commercial blocks provide no extra value for video indexing, retrieval, archiving, or summarization of TV broadcasts. Therefore, automatic detection of commercial blocks is an important topic in the domain of multimedia information systems. We present a commercial detection approach which is based on logo detection performed in the compressed domain. The novelty of our approach is that by taking advantage of advanced features of the H.264/AVC coding, it is both significantly faster and more exact than existing approaches working directly on compressed data. Our approach enables removal of commercials in a fraction of real-time while achieving an average recall of 97.33% with an average precision of 99.31%. Moreover, due to its run-time performance, our approach can also be employed on low performance devices, for instance DVB recorders.

Keywords

IEEE Computer Society Prediction Mode Optical Character Recognition Intra Prediction Digital Video Broadcasting 
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 2009

Authors and Affiliations

  • Klaus Schöffmann
    • 1
  • Mathias Lux
    • 1
  • Laszlo Böszörmenyi
    • 1
  1. 1.Institute of Information Technology (ITEC)University of KlagenfurtKlagenfurtAustria

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