Complexity control of motion compensation for video decoding

Wei Hsiang Chiou; Chih-Hung Kuo; Yi Shian Shie

doi:10.1109/APSIPA.2013.6694241

Complexity control of motion compensation for video decoding

Wei Hsiang Chiou, Chih-Hung Kuo, Yi Shian Shie

Department of Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This paper proposes a complexity control mechanism for the video encoder to generate a bitstream that fits the power constraint of the decoder. We combine the complexity term of motion compensation with the conventional rate-distortion optimization (RDO). The Lagrange multiplier is updated for each macroblock (MB) to meet the target computing complexity. Experimental show that the proposed method provides a good control accuracy of computing complexity. The whole average error of test sequences is 1.20% with constant bit rate constraints.

Original language	English
Title of host publication	2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2013
DOIs	https://doi.org/10.1109/APSIPA.2013.6694241
Publication status	Published - 2013
Event	2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2013 - Kaohsiung, Taiwan Duration: 2013 Oct 29 → 2013 Nov 1

Other

Other	2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2013
Country/Territory	Taiwan
City	Kaohsiung
Period	13-10-29 → 13-11-01

All Science Journal Classification (ASJC) codes

Information Systems
Signal Processing

Access to Document

10.1109/APSIPA.2013.6694241

Cite this

@inproceedings{9b04b9d927df4aae9f7f76e4af383e9b,

title = "Complexity control of motion compensation for video decoding",

abstract = "This paper proposes a complexity control mechanism for the video encoder to generate a bitstream that fits the power constraint of the decoder. We combine the complexity term of motion compensation with the conventional rate-distortion optimization (RDO). The Lagrange multiplier is updated for each macroblock (MB) to meet the target computing complexity. Experimental show that the proposed method provides a good control accuracy of computing complexity. The whole average error of test sequences is 1.20% with constant bit rate constraints.",

author = "Chiou, {Wei Hsiang} and Chih-Hung Kuo and Shie, {Yi Shian}",

year = "2013",

doi = "10.1109/APSIPA.2013.6694241",

language = "English",

isbn = "9789869000604",

booktitle = "2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2013",

note = "2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2013 ; Conference date: 29-10-2013 Through 01-11-2013",

}

Chiou, WH, Kuo, C-H & Shie, YS 2013, Complexity control of motion compensation for video decoding. in 2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2013., 6694241, 2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2013, Kaohsiung, Taiwan, 13-10-29. https://doi.org/10.1109/APSIPA.2013.6694241

TY - GEN

T1 - Complexity control of motion compensation for video decoding

AU - Chiou, Wei Hsiang

AU - Kuo, Chih-Hung

AU - Shie, Yi Shian

PY - 2013

Y1 - 2013

N2 - This paper proposes a complexity control mechanism for the video encoder to generate a bitstream that fits the power constraint of the decoder. We combine the complexity term of motion compensation with the conventional rate-distortion optimization (RDO). The Lagrange multiplier is updated for each macroblock (MB) to meet the target computing complexity. Experimental show that the proposed method provides a good control accuracy of computing complexity. The whole average error of test sequences is 1.20% with constant bit rate constraints.

AB - This paper proposes a complexity control mechanism for the video encoder to generate a bitstream that fits the power constraint of the decoder. We combine the complexity term of motion compensation with the conventional rate-distortion optimization (RDO). The Lagrange multiplier is updated for each macroblock (MB) to meet the target computing complexity. Experimental show that the proposed method provides a good control accuracy of computing complexity. The whole average error of test sequences is 1.20% with constant bit rate constraints.

UR - http://www.scopus.com/inward/record.url?scp=84893311925&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84893311925&partnerID=8YFLogxK

U2 - 10.1109/APSIPA.2013.6694241

DO - 10.1109/APSIPA.2013.6694241

M3 - Conference contribution

AN - SCOPUS:84893311925

SN - 9789869000604

BT - 2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2013

T2 - 2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2013

Y2 - 29 October 2013 through 1 November 2013

ER -

Complexity control of motion compensation for video decoding

Abstract

Other

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this