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Parallel Parsing of MPEG Video in a Multi-threaded Multiprocessor Environment

  • Suchendra M. Bhandarkar
  • Shankar R. Chandrasekaran
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1800)

Abstract

Video parsing refers to the detection of scene changes and special effects in the video stream and is used to extract key frames from a video stream. In this paper, we propose parallel algorithms for the detection of scene changes and special effects in MPEG video in a multi-threaded multiprocessor environment. The parallel video parsing algorithms are capable of detecting abrupt scene changes (cuts), gradual scene changes (dissolves) and dominant camera motion in the form of pans and zooms in an MPEG1-coded video stream while entailing minimal decompression of the MPEG1 video stream. Experimental results on real video clips in a multi-threaded multiprocessor environment are presented. These algorithms are useful when real-time parsing of streaming video or high-throughput parsing of archival video are desired.

Keywords

Motion Vector Video Stream Work Process MPEG1 Video Scene Change 
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 2000

Authors and Affiliations

  • Suchendra M. Bhandarkar
    • 1
  • Shankar R. Chandrasekaran
    • 1
  1. 1.Department of Computer ScienceThe University of GeorgiaAthensUSA

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