DocumentCode :
79292
Title :
H.264-based hierarchical two-layer lossless video coding method
Author :
Wei-Da Chien ; Ke-Ying Liao ; Jar-Ferr Yang
Author_Institution :
Dept. of Electr. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan
Volume :
8
Issue :
1
fYear :
2014
fDate :
Feb. 2014
Firstpage :
21
Lastpage :
29
Abstract :
An efficient lossless coding technique is very important for storage and transmission applications of error sensitive information such as medical, seismic and digital artistic data. In this study, the authors proposed an H.264-based advance video coding (H.264/AVC)-based hierarchical lossless coding method, where the input video will be firstly encoded by H.264/AVC coder with a quantisation parameter (QP) selector in the base layer and the coded error is encoded by a QP-adaptive Rice coder in the enhancement layer. To reduce encoding time, the QP selector can be simplified to select the nearly optimal QP. Simulation results show that the proposed hierarchical lossless coding architecture achieves better compression ratio than the traditional H.264/AVC-based lossless coding systems. Since the proposed system could provide both lossy and lossless coding services at the same time, the proposed lossless video coding system has advantages of efficiency and flexibility for practical applications. Experimental results show that the proposed coding system can provide less coding bits and reduce coding complexity compare with H.264-differential pulse code modulation.
Keywords :
adaptive codes; data compression; video coding; H.264-based advance video coding; H.264-based hierarchical two-layer lossless video coding method; H.264-differential pulse code modulation; H.264/AVC-based hierarchical lossless coding method; H.264/AVC-based lossless coding systems; QP selector; QP-adaptive Rice coder; base layer; compression ratio; digital artistic data; error sensitive information; hierarchical lossless coding architecture; lossless coding services; quantisation parameter selector;
fLanguage :
English
Journal_Title :
Signal Processing, IET
Publisher :
iet
ISSN :
1751-9675
Type :
jour
DOI :
10.1049/iet-spr.2013.0088
Filename :
6726162
Link To Document :
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