Efficient mode selection algorithm using image distortion for H.264 video encoder

Manoranjan Paul; Michael Frater; John Arnold

doi:10.1109/ICOSP.2006.345638

Efficient mode selection algorithm using image distortion for H.264 video encoder

Manoranjan Paul, Michael Frater, John Arnold

Research output: Book chapter/Published conference paper › Conference paper › peer-review

3 Citations (Scopus)

24 Downloads (Pure)

Abstract

Many video compression algorithms require decisions to bemade to select between different coding modes. In the caseof H.264, this includes decisions about whether or notmotion compensation is used, and the block size to be usedfor motion compensation. It has been proposed thatconstrained optimization techniques, such as the method ofLagrange multipliers, can be used to trade off between thequality of the compressed video and the bit rate generated. Inthis paper, we show that in many cases of practical interest,very similar results can be achieved with much simpleroptimizations. Mode selection by simply minimizing thedistortion with motion vectors and header informationproduces very similar results to the full constrainedoptimization, while it saves 31% mode selectioncomputational time.

Original language	English
Title of host publication	IEEE International Conference on Signal Processing (ICSP)
Place of Publication	USA
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	4
Number of pages	1
Volume	2
ISBN (Electronic)	9780780397361
DOIs	https://doi.org/10.1109/ICOSP.2006.345638
Publication status	Published - 2006
Event	8th International Conference - Beijing International Convention Center, Beijing, China, China Duration: 16 Nov 2006 → 20 Nov 2006

Conference

Conference	8th International Conference
Country/Territory	China
Period	16/11/06 → 20/11/06

Access to Document

10.1109/ICOSP.2006.345638

Efficient mode selection Algorithm using image distortion for H.264 video encoder.pdfAccepted author manuscript, 95.9 KB

Cite this

@inproceedings{4134077ee74f40cbbfc7415bdb0a0e19,

title = "Efficient mode selection algorithm using image distortion for H.264 video encoder",

abstract = "Many video compression algorithms require decisions to bemade to select between different coding modes. In the caseof H.264, this includes decisions about whether or notmotion compensation is used, and the block size to be usedfor motion compensation. It has been proposed thatconstrained optimization techniques, such as the method ofLagrange multipliers, can be used to trade off between thequality of the compressed video and the bit rate generated. Inthis paper, we show that in many cases of practical interest,very similar results can be achieved with much simpleroptimizations. Mode selection by simply minimizing thedistortion with motion vectors and header informationproduces very similar results to the full constrainedoptimization, while it saves 31% mode selectioncomputational time.",

keywords = "Open access version available",

author = "Manoranjan Paul and Michael Frater and John Arnold",

note = "Imported on 03 May 2017 - DigiTool details were: publisher = USA: Institute of Electrical and Electronics Engineers (IEEE) Press, 2006. editor/s (773b) = Yuan Baozong, Ruan Qiuqi, Tang Xiaofang; Event dates (773o) = 16 Nov - 20 Nov 2006; Parent title (773t) = IEEE International Conference on Signal Processing (ICSP).; 8th International Conference ; Conference date: 16-11-2006 Through 20-11-2006",

year = "2006",

doi = "10.1109/ICOSP.2006.345638",

language = "English",

volume = "2",

pages = "4",

booktitle = "IEEE International Conference on Signal Processing (ICSP)",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States",

}

TY - GEN

T1 - Efficient mode selection algorithm using image distortion for H.264 video encoder

AU - Paul, Manoranjan

AU - Frater, Michael

AU - Arnold, John

N1 - Imported on 03 May 2017 - DigiTool details were: publisher = USA: Institute of Electrical and Electronics Engineers (IEEE) Press, 2006. editor/s (773b) = Yuan Baozong, Ruan Qiuqi, Tang Xiaofang; Event dates (773o) = 16 Nov - 20 Nov 2006; Parent title (773t) = IEEE International Conference on Signal Processing (ICSP).

PY - 2006

Y1 - 2006

N2 - Many video compression algorithms require decisions to bemade to select between different coding modes. In the caseof H.264, this includes decisions about whether or notmotion compensation is used, and the block size to be usedfor motion compensation. It has been proposed thatconstrained optimization techniques, such as the method ofLagrange multipliers, can be used to trade off between thequality of the compressed video and the bit rate generated. Inthis paper, we show that in many cases of practical interest,very similar results can be achieved with much simpleroptimizations. Mode selection by simply minimizing thedistortion with motion vectors and header informationproduces very similar results to the full constrainedoptimization, while it saves 31% mode selectioncomputational time.

AB - Many video compression algorithms require decisions to bemade to select between different coding modes. In the caseof H.264, this includes decisions about whether or notmotion compensation is used, and the block size to be usedfor motion compensation. It has been proposed thatconstrained optimization techniques, such as the method ofLagrange multipliers, can be used to trade off between thequality of the compressed video and the bit rate generated. Inthis paper, we show that in many cases of practical interest,very similar results can be achieved with much simpleroptimizations. Mode selection by simply minimizing thedistortion with motion vectors and header informationproduces very similar results to the full constrainedoptimization, while it saves 31% mode selectioncomputational time.

KW - Open access version available

U2 - 10.1109/ICOSP.2006.345638

DO - 10.1109/ICOSP.2006.345638

M3 - Conference paper

VL - 2

SP - 4

BT - IEEE International Conference on Signal Processing (ICSP)

PB - IEEE, Institute of Electrical and Electronics Engineers

CY - USA

T2 - 8th International Conference

Y2 - 16 November 2006 through 20 November 2006

ER -

Efficient mode selection algorithm using image distortion for H.264 video encoder

Abstract

Conference

Access to Document

Fingerprint

Cite this