DocumentCode
2290881
Title
Fast weighted algorithms for bitstream extraction of SVC Medium-Grain scalable video coding
Author
Li, Ruiheng ; Sun, Jun ; Gao, Wen
Author_Institution
Sch. of Inf., Grad. Univ. of Chinese Acad. of Sci., Beijing, China
fYear
2010
fDate
19-23 July 2010
Firstpage
249
Lastpage
254
Abstract
The Medium-Granular scalable (MGS) technologies in H.264/AVC-based scalable video coding (SVC) provide a flexible foundation to accommodate different network capacities. In order to make use of MGS in multiple environments conveniently, we need to obtain the Rate Distortion (R-D) function of SVC and design efficient bitstream extractions. In this paper, we proposed a simple and effective distortion model to estimate the reconstruction distortion with drift error. Based on the model, a simple and fast weight-based priority setting algorithm is designed to achieve optimal R-D performance in MGS bitstream extractions. A smooth extraction algorithm is also provided for smooth quality substream extraction. Extensive experiments show the accuracy of the new R-D models and the effectiveness of the proposed extraction algorithms.
Keywords
feature extraction; rate distortion theory; smoothing methods; video coding; H.264/AVC; bitstream extraction; fast weighted algorithm; medium-grain scalable video coding; quality substream extraction; rate distortion function; reconstruction distortion; smooth extraction algorithm; weight-based priority setting algorithm; Algorithm design and analysis; Arrays; Bit rate; Computational modeling; Encoding; Scheduling algorithm; Static VAr compensators; MGS; R-D model; SVC; optimal extraction; smooth extraction;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia and Expo (ICME), 2010 IEEE International Conference on
Conference_Location
Suntec City
ISSN
1945-7871
Print_ISBN
978-1-4244-7491-2
Type
conf
DOI
10.1109/ICME.2010.5583313
Filename
5583313
Link To Document