Fast mode decision for H.264/AVC based on rate-distortion clustering

NCUIR > College of Electrical Engineering & Computer Science > Department of Computer Science and information Engineering > journal & Dissertation > Item 987654321/106793

Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/106793

Title:	Fast mode decision for H.264/AVC based on rate-distortion clustering
Authors:	王家慶;Sung, Yu-Huan;Wang, Jia-Ching
Contributors:	資訊電機學院資訊工程學系
Keywords:	Applied sciences;Artificial intelligence;Coding, codes;Computer science;control theory;systems;Correlation;Encoding;Exact sciences and technology;H.264/AVC;Information, signal and communications theory;Language processing and microprogramming;Materials;mode classification;mode decision;Motion estimation;nearest neighbor;Pattern recognition. Digital image processing. Computational geometry;Rate-distortion;Signal and communications theory;Software;Telecommunications and information theory;Vectors;Video coding
Date:	2012-05-22
Issue Date:	2026-04-23 13:43:19 (UTC+8)
Publisher:	Institute of Electrical and Electronics Engineers Inc.;New York, NY: IEEE
Abstract:	摘要： Although H.264/AVC is a promising video coding standard that achieves excellent coding performance in terms of visual quality and bitrate, its extremely high encoding complexity raises concerns about its computational burden on real-time applications. This work presents a multi-phase classification (MPC) scheme that builds a mode decision tree according to the clustering of rate-distortion costs. A nearest cluster mean criterion is used to examine candidate modes phase by phase, and a performance control mechanism is incorporated to maintain coding performance. Experimental results confirm that the proposed MPC algorithm reduces encoding time by an average of 68% with only negligible performance degradation. 其他題名： TMM 出版者： New York, NY: IEEE 出版日期： 2012-06 出處： IEEE transactions on multimedia, 2012-06, Vol.14 (3), p.693-702 資源來源： IEEE Electronic Library (IEL) 版權： 2015 INIST-CNRS 識別號： ISSN: 1520-9210 識別號： EISSN: 1941-0077 識別號： DOI: 10.1109/TMM.2012.2186793 識別號： CODEN: ITMUF8
Appears in Collections:	[Department of Computer Science and information Engineering] journal & Dissertation

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