DocumentCode :
175187
Title :
Efficient Compression Algorithm for H.264/AVC Intra-prediction Using an Activity Map
Author :
June Kim ; Youngseop Kim ; Yong Hwan Lee ; Oh Jin Kwon ; Bonam Kim
Author_Institution :
Dept. of Electr. & Electron. Eng., Dankook Univ., Cheonan, South Korea
fYear :
2014
fDate :
2-4 July 2014
Firstpage :
202
Lastpage :
206
Abstract :
H.264/AVC, the international video coding standard developed by ITU-T VCEG and ISO/IEC MPEG, is known to be more efficient than other standards. Higher compression is provided with the parameter block mode of H.264/AVC, but due to its low compression efficiency, researchers tend to ignore the algorithm´s intra-prediction coding capability. This study examined this overlooked aspect to determine its impact on compression efficiency and identify potential adverse effects. This paper proposes a novel algorithm to boost efficiency using an activity map for the pixel unit of respective prediction block in conjunction with specific thresholds. Experimental results reveal that compared to the existing H.264/AVC algorithm, the proposed algorithm shows a significant improvement of over 0.35% in the compression efficiency without any increase in overall encoding time and PSNR complexity.
Keywords :
IEC standards; ISO standards; block codes; data compression; video coding; AVC intraprediction algorithm; H.264 intraprediction; IEC MPEG; ISO MPEG; ITU-T VCEG; PSNR complexity; activity map; efficient compression algorithm; international video coding standard; low compression efficiency; moving picture expert group; prediction block pixel unit; video coding expert group; Algorithm design and analysis; Encoding; PSNR; Prediction algorithms; Standards; Transform coding; Video coding; Activity Map; H.264/AVC Algorithm; ISO/IEC MPEG; Intra 16×16 mode and Intra 4×4 mode; Intra-Prediction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS), 2014 Eighth International Conference on
Conference_Location :
Birmingham
Print_ISBN :
978-1-4799-4333-3
Type :
conf
DOI :
10.1109/IMIS.2014.25
Filename :
6975464
Link To Document :
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