Video Sequence Identification in TV Broadcasts

  • Klaus Schoeffmann
  • Laszlo Boeszoermenyi
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6523)


We present a video sequence identification approach that can reliably and quickly detect equal or similar recurrences of a given video sequence in long video streams, e.g. such as TV broadcasts. The method relies on motion-based video signatures and has low run-time requirements. For TV broadcasts it enables to easily track recurring broadcasts of a specific video sequence and to locate their position, even across different TV broadcasting channels. In an evaluation with 48 hours of video content recorded from local TV broadcasts we show that our method is highly reliable and accurate and works in a fraction of real-time.


Video Sequence Motion Vector Video Stream Video Retrieval Motion Estimation Algorithm 
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 2011

Authors and Affiliations

  • Klaus Schoeffmann
    • 1
  • Laszlo Boeszoermenyi
    • 1
  1. 1.Institute of Information TechnologyKlagenfurt UniversityKlagenfurtAustria

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