Effective drift reduction technique for reduced bit-rate video adaptation

June S. Lee, Goo R. Kwon, Jae W. Kim, Jae Yong Lee, Sung-Jea Ko

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Video transcoding to the low bitrate creates drift error caused by quantization, motion vector mapping, and texture downsizing. In this paper, we propose a drift reduction technique for spatial resolution reduction transcoding. The proposed technique uses adaptive motion mapping and refinement for avoiding the generation of the drift error and forced skipping of macroblock encoding for terminating the propagation of drift error. Experimental results show that proposed technique can preserve image quality while transcoding to the low bitrate.

Original languageEnglish
Pages (from-to)689-696
Number of pages8
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3333
Publication statusPublished - 2004 Dec 1

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Transcoding
Image quality
Motion Vector
Textures
Spatial Resolution
Image Quality
Texture
Quantization
Encoding
Refinement
Propagation
Motion
Experimental Results

Keywords

  • Drift error reduction
  • Transcoding
  • Video adaptation

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Effective drift reduction technique for reduced bit-rate video adaptation. / Lee, June S.; Kwon, Goo R.; Kim, Jae W.; Lee, Jae Yong; Ko, Sung-Jea.

In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 3333, 01.12.2004, p. 689-696.

Research output: Contribution to journalArticle

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