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  5. Survey and Pareto Analysis Method for Coding Efficiency Assessment of Low Complexity H.264 Algorithms
 
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Survey and Pareto Analysis Method for Coding Efficiency Assessment of Low Complexity H.264 Algorithms

Author(s)
Ivanov, Yuri  
Bleakley, Chris J.  
Uri
http://hdl.handle.net/10197/7125
Date Issued
2006-09-01
Date Available
2015-09-25T16:06:29Z
Abstract
A large number of algorithms have been proposed by researchers to reduce H.264computational complexity. Currently there is no method for reliably comparing theeffectiveness of these algorithms. This paper proposes a method that allows direct comparison of the results obtained for various previously published low complexity H.264 encoding algorithms. The method is based on a new coding efficiency metric for unified bit rate and quality assessment. Pareto analysis is used to derive an optimal reference efficiency complexity curve using standard H.264 encoding tools and parameters. The paper demonstrates application of the method to the assessment of recently published low-complexity algorithms. The method shows that some published low complexity algorithms can be outperformed by simply adjusting the standard video encoder parameters.
Sponsorship
University College Dublin
Type of Material
Conference Publication
Subjects

Video compression

H.264

Complexity scaling

Pareto analysis

Web versions
http://www.cs.ucd.ie/staff/cbleakley/home/papers/IMVIP_ivanov_CR.pdf
http://www.rince.ie/imvip2006/
https://www.scss.tcd.ie/disciplines/statistics/IPRCS/index.php
Language
English
Status of Item
Peer reviewed
Conference Details
Irish Machine Vision and Image Processing Conference (IMVIP), Dublin, Ireland, 30 August - 1 September, 2006
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
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Survey_and_Pareto_Analysis_Method_for_Coding_Efficiency_Assessment_of_Low_Complexity_H.264_Algorithms.pdf

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Owning collection
Computer Science Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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