Effective drift reduction technique for reduced bit-rate video adaptation

June Sok Lee; Goo Rak Kwon; Jae Won Kim; Jae Yong Lee; Sung Jea Ko

doi:10.1007/978-3-540-30543-9_86

Effective drift reduction technique for reduced bit-rate video adaptation

June Sok Lee, Goo Rak Kwon, Jae Won Kim, Jae Yong Lee, Sung Jea Ko

School of Electrical Engineering

Research output: Contribution to journal › Article › peer-review

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 language	English
Pages (from-to)	689-696
Number of pages	8
Journal	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3333
DOIs	https://doi.org/10.1007/978-3-540-30543-9_86
Publication status	Published - 2004

Keywords

Drift error reduction
Transcoding
Video adaptation

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

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10.1007/978-3-540-30543-9_86

Cite this

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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.",

keywords = "Drift error reduction, Transcoding, Video adaptation",

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AU - Lee, Jae Yong

AU - Ko, Sung Jea

PY - 2004

Y1 - 2004

N2 - 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.

AB - 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.

KW - Drift error reduction

KW - Transcoding

KW - Video adaptation

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JF - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

ER -

Effective drift reduction technique for reduced bit-rate video adaptation

Abstract

Keywords

ASJC Scopus subject areas

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