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Dynamic Bit-Rate Allocation with Fuzzy Measures for MPEG Transcoding

  • TaeYong Kim
  • Jong-Seung Park
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3311)

Abstract

In this paper, we propose a dynamic bit-rate allocation algorithm for MPEG transcoding. The method consists of a bit-rate allocation with fuzzy measures and a least-distortion bit-rate reduction. Fuzzy measures are calculated by the code length, the discontinuity bluntness, and the neighborhood momentum in each DCT block. These measures are summed with weights and form a reduction fuzziness to indicate the degree of plausible reduction. Using the reduction fuzziness, each DCT block is filtered by the least-distortion reduction method to adjust the bit-rate for a target bandwidth. In the experiment, we show the results that the transcoded video quality by the method is better and the bandwidth is more regular than those of existing methods in both visually and quantitatively.

Keywords

Video Quality Visual Quality Code Length Fuzzy Measure Variable Length Code 
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 2004

Authors and Affiliations

  • TaeYong Kim
    • 1
  • Jong-Seung Park
    • 2
  1. 1.Graduate School of Advanced Imaging Science, Multimedia and FilmChung-Ang UniversitySeoulRepublic of Korea
  2. 2.Dept. of Computer Science and EngineeringUniversity of IncheonIncheon CityRepublic of Korea

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