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

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Title: Pareto-Optimal Macroblock Classification for Fast Mode Decision in H.264
Authors: Ivanov, Yuri
Bleakley, Chris J.
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Date: 27-Nov-2007
Online since: 2015-09-25T14:43:43Z
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.
Funding Details: University College Dublin
Type of material: Conference Publication
Publisher: IEEE
Start page: 1439
End page: 1442
Copyright (published version): 2007 IEEE
Keywords: H.264Mode decisionPareto
DOI: 10.1109/ICSPC.2007.4728600
Language: en
Status of Item: Peer reviewed
Conference Details: 2007 IEEE International Conference on Signal Processing and Communications (ICSPC), Dubai, United Arab Emirates, 24 - 27 November 2007
Appears in Collections:Computer Science Research Collection

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