DocumentCode
2032020
Title
Rate controlling based on effective source-complexity metrics appropriated to H.264/AVC
Author
Chan, Din-Yuen ; Lin, Zih-Siang ; Wu, Pei-Shan
Author_Institution
Dept. of Comput. Sci. Inf. Eng., Nat. Chia-Yi Univ., Chiayi, Taiwan
fYear
2010
fDate
16-18 Dec. 2010
Firstpage
142
Lastpage
147
Abstract
The paper presents two effective rate-estimation metrics called the DCT-based texture-abundance (DTA) metric and the subband-weighted energy (SWE) for the rate controls of inter-coded-frame and intra-coded frame in H.264/AVC, respectively. In order to generally meet the one-pass processing constraint in H.264 video coding, the rate controller is bound to use the DTA estimate predicted from the nearest stored frame rather than the actual DTA. Hence, an efficient matching method using the standardized motion vector prediction (MVP) is addressed to find the predictive MB of coding MB for proper DTA estimation. For estimating the intra-coded macroblock(MB) source abundance and compensating the inadequacy of predicted inter-coded MBs source abundance, SWE is addressed. Experiment results show that the proposed rate controller based on DTA and SWE can outperform that suggested by JM15.1 [2] in terms of PSNR and buffer fullness stabilization with negligible increased computational complexity with the same type of R-Q-C model.
Keywords
discrete cosine transforms; pattern matching; rate distortion theory; video coding; DCT-based texture-abundance; DTA estimation; H.264 video coding; efficient matching method; intra-coded macroblock; motion vector prediction; rate controlling; source-complexity metrics; subband-weighted energy; Automatic voltage control; Bit rate; Discrete cosine transforms; Encoding; PSNR; Quantization; H.264/AVC; bit allocation; quantization parameter; rate control;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Symposium (ICS), 2010 International
Conference_Location
Tainan
Print_ISBN
978-1-4244-7639-8
Type
conf
DOI
10.1109/COMPSYM.2010.5685531
Filename
5685531
Link To Document