A Quantisation Parameter Adaptive Mode Decision Algorithm for H.264

碩士 === 國立成功大學 === 電腦與通信工程研究所 === 93 === H.264 can out-perform MPEG-4 Visual in compression efficiency but it has too higher computational complexity when compared to the older standards. In this Thesis, two efficient schemes are proposed to reduce the computation load of the H.264 encoder. The fir...

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Main Authors: Yu-Hung Chen, 陳毓宏
Other Authors: Shen-Chuan Tai
Format: Others
Language:en_US
Published: 2005
Online Access:http://ndltd.ncl.edu.tw/handle/45390492328621746046
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spelling ndltd-TW-093NCKU56520052017-07-30T04:40:30Z http://ndltd.ncl.edu.tw/handle/45390492328621746046 A Quantisation Parameter Adaptive Mode Decision Algorithm for H.264 在H.264上依量化參數決定的模式決策演算法 Yu-Hung Chen 陳毓宏 碩士 國立成功大學 電腦與通信工程研究所 93 H.264 can out-perform MPEG-4 Visual in compression efficiency but it has too higher computational complexity when compared to the older standards. In this Thesis, two efficient schemes are proposed to reduce the computation load of the H.264 encoder. The first one is called small diamond based search (SDBS), a fast block-matching algorithm, which will be applied in integer-pixel motion estimation. The SDBS algorithm consists of multiple different search strategies and could achieve stable performance over any different class of spatial detail and temporal motion videos. The other one is called quantisation parameter adaptive mode decision (QPAMD) algorithm, which is used to determine whether the prediction results of the current Inter mode is good enough to omit the investigations of the remaining Inter modes or not (in Early Termination stage), or to find the ineffective Inter predition modes and omit the investigations of them (in Mode Selection stage). The experimental results show the combination of SDBS and QPAMD could achieve a speed-up factor about 244 (for CIF format sequences) or 147 (for CCIR-601 sequences) while a slightly PSNR degradation or bitrate increase with regard to coding efficiency. Shen-Chuan Tai 戴顯權 2005 學位論文 ; thesis 80 en_US
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description 碩士 === 國立成功大學 === 電腦與通信工程研究所 === 93 === H.264 can out-perform MPEG-4 Visual in compression efficiency but it has too higher computational complexity when compared to the older standards. In this Thesis, two efficient schemes are proposed to reduce the computation load of the H.264 encoder. The first one is called small diamond based search (SDBS), a fast block-matching algorithm, which will be applied in integer-pixel motion estimation. The SDBS algorithm consists of multiple different search strategies and could achieve stable performance over any different class of spatial detail and temporal motion videos. The other one is called quantisation parameter adaptive mode decision (QPAMD) algorithm, which is used to determine whether the prediction results of the current Inter mode is good enough to omit the investigations of the remaining Inter modes or not (in Early Termination stage), or to find the ineffective Inter predition modes and omit the investigations of them (in Mode Selection stage). The experimental results show the combination of SDBS and QPAMD could achieve a speed-up factor about 244 (for CIF format sequences) or 147 (for CCIR-601 sequences) while a slightly PSNR degradation or bitrate increase with regard to coding efficiency.
author2 Shen-Chuan Tai
author_facet Shen-Chuan Tai
Yu-Hung Chen
陳毓宏
author Yu-Hung Chen
陳毓宏
spellingShingle Yu-Hung Chen
陳毓宏
A Quantisation Parameter Adaptive Mode Decision Algorithm for H.264
author_sort Yu-Hung Chen
title A Quantisation Parameter Adaptive Mode Decision Algorithm for H.264
title_short A Quantisation Parameter Adaptive Mode Decision Algorithm for H.264
title_full A Quantisation Parameter Adaptive Mode Decision Algorithm for H.264
title_fullStr A Quantisation Parameter Adaptive Mode Decision Algorithm for H.264
title_full_unstemmed A Quantisation Parameter Adaptive Mode Decision Algorithm for H.264
title_sort quantisation parameter adaptive mode decision algorithm for h.264
publishDate 2005
url http://ndltd.ncl.edu.tw/handle/45390492328621746046
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