A novel fast mode decision algorithm for h.264/AVC using particle swarm optimization

NCUIR > College of Electrical Engineering & Computer Science > Department of Computer Science and information Engineering > journal & Dissertation > Item 987654321/106091

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Title:	A novel fast mode decision algorithm for h.264/AVC using particle swarm optimization
Authors:	王家慶;SUNG, Yu-Huan;WANG, Jia-Ching
Contributors:	資訊電機學院資訊工程學系
Keywords:	Algorithms;Classification;Coding;Encoding;H.264/AVC;Mathematical analysis;mode decision;particle swarm optimization;PSO;Swarm intelligence;Trains;video coding
Date:	2013-01-01
Issue Date:	2026-04-23 13:08:06 (UTC+8)
Publisher:	Maruzen Co., Ltd/Maruzen Kabushikikaisha;The Institute of Electronics, Information and Communication Engineers
Abstract:	摘要： Video coding plays an important role in human life especially in communications. H.264/AVC is a prominent video coding standard that has been used in a variety of applications due to its high efficiency comes from several new coding techniques. However, the extremely high encoding complexity hinders itself from real-time applications. This paper presents a new encoding algorithm that makes use of particle swarm optimization (PSO) to train discriminant functions for classification based fast mode decision. Experimental results show that the proposed algorithm can successfully reduce encoding time at the expense of negligible quality degradation and bitrate increases. 其他題名： IEICE Trans. Fundamentals 出版者： The Institute of Electronics, Information and Communication Engineers 出版日期： 2013 出處： IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, 2013/11/01, Vol.E96.A(11), pp.2154-2160 資源來源： J-STAGE Free 版權： 2013 The Institute of Electronics, Information and Communication Engineers 識別號： ISSN: 1745-1337 識別號： ISSN: 0916-8508 識別號： EISSN: 1745-1337 識別號： DOI: 10.1587/transfun.E96.A.2154
Appears in Collections:	[Department of Computer Science and information Engineering] journal & Dissertation

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