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  5. Pareto-Optimal Macroblock Classification for Fast Mode Decision in H.264
 
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Pareto-Optimal Macroblock Classification for Fast Mode Decision in H.264

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Author(s)
Ivanov, Yuri 
Bleakley, Chris J. 
Uri
http://hdl.handle.net/10197/7119
Date Issued
27 November 2007
Date Available
25T14:43:43Z September 2015
Abstract
This paper presents a novel fast mode decision algorithm for H.264/AVC based on a Pareto-optimal macroblock classification strategy. Previously published H.264 low complexity schemes mostly concentrated on improving class decision metrics, but did not justify the choice of MD classes. Herein, we use Pareto analysis to derive the optimal set of MD classes and to define efficient class decision metrics. For each MD class only rate-distortion optimal complexity settings are used. Experimental results show that the proposed algorithm outperforms previously published algorithms, providing a 57-73% reduction in total computational complexity with some reduction in bit rate and acceptable visual quality.
Sponsorship
University College Dublin
Type of Material
Conference Publication
Publisher
IEEE
Start Page
1439
End Page
1442
Copyright (Published Version)
2007 IEEE
Keywords
  • H.264

  • Mode decision

  • Pareto

DOI
10.1109/ICSPC.2007.4728600
Language
English
Status of Item
Peer reviewed
Description
2007 IEEE International Conference on Signal Processing and Communications (ICSPC), Dubai, United Arab Emirates, 24 - 27 November 2007
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
Owning collection
Computer Science Research Collection
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0
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Mar 24, 2023
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