DocumentCode :
2576134
Title :
Mapping Scalable Video Coding decoder on multi-core stream processors
Author :
Su, Yu-Chi ; Tsai, Sung-Fang ; Chuang, Tzu-Der ; Tsao, You-Ming ; Chen, Liang-Gee
Author_Institution :
DSP/IC Design Lab., Nat. Taiwan Univ., Taipei, Taiwan
fYear :
2009
fDate :
6-8 May 2009
Firstpage :
1
Lastpage :
4
Abstract :
Scalable Video Coding (SVC) is an advanced video compression technique that can support temporal, spatial, and quality scalability to terminals with different network conditions. SVC adopts layered coding techniques to improve coding efficiency for spatial and quality scalability. Upsampling and inter-layer prediction are two important mechanisms to remove redundant information between different layers. However, upsampling occupying around 75% memory bandwidth of SVC decoder results in serious performance degradation, especially for applications with high resolutions. Moreover, inter-layer prediction with complex scheduling leads to difficulties when mapping the SVC decoder in parallel. In this paper, we propose a method to parallelize the SVC decoder on a multi-core stream processor platform in both efficiency and flexibility. We focus on mapping issues of spatial scalability supporting with various resolutions of decoded frames. The experiment result proves the proposed design for SVC decoder reduces 95% memory bandwidth of the upsampling module in JSVM, performed on a single general-purpose processor.
Keywords :
data compression; decoding; image resolution; video coding; complex scheduling; image resolution; inter-layer prediction; multicore stream processor; scalable video coding decoder; video compression; Bandwidth; Decoding; Degradation; Processor scheduling; Scalability; Spatial resolution; Static VAr compensators; Streaming media; Video coding; Video compression; SVC; parallel; scalability; stream processor;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Picture Coding Symposium, 2009. PCS 2009
Conference_Location :
Chicago, IL
Print_ISBN :
978-1-4244-4593-6
Electronic_ISBN :
978-1-4244-4594-3
Type :
conf
DOI :
10.1109/PCS.2009.5167370
Filename :
5167370
Link To Document :
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