Rate control for low bit rate video via enhanced frame skipping

Jae Young Pyun, Yoon Kim, Sung Jea Ko

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

A scene-adaptive rate control algorithm with an enhanced frame skipping is proposed for low bit rate video coding. Most existing rate control algorithms for low bit rate video focus on bit allocation at the macroblock level under a bit rate constraint. The proposed rate control method looks at bit allocation from the frame level perspective and provides an effective bit allocation to reduce the temporal visual fluctuation of image quality such as flickering and motion jerkiness. It is demonstrated that the new rate control algorithm allocates target bits according to picture coding complexities and alleviates the problem of the frame skipping occurred by abrupt scene changes. Experimental results indicate that the proposed control method provides an effective alternative to existing frame-layer rate control for non-interactive streaming applications such as videocasting, video-monitoring, and video-based entertainment services.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsVipin Kumar, Marina L. Gavrilova, Chih Jeng Kenneth Tan, Pierre L’Ecuyer, Chih Jeng Kenneth Tan
PublisherSpringer Verlag
Pages302-311
Number of pages10
ISBN (Print)3540401555, 9783540448396
DOIs
Publication statusPublished - 2003

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2667
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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