DocumentCode :
3291647
Title :
Spatially Scalable Video Coding for HEVC
Author :
Shi, Zhongbo ; Sun, Xiaoyan ; Wu, Feng
Author_Institution :
Univ. of Sci. & Technol. of China, Hefei, China
fYear :
2012
fDate :
9-13 July 2012
Firstpage :
1091
Lastpage :
1096
Abstract :
Spatially scalable video coding (SSVC in short) provides an efficient way to deliver one video at different resolutions. Based on the development of emerging High Efficiency Video Coding (HEVC), we propose a SSVC scheme to provide both single-loop and multi-loop solutions by enabling different inter-layer prediction mechanisms. Specifically, there are three basic inter-layer prediction modes, inter-layer intra, motion and residual prediction, which are first investigated for enhancement layer coding. These three modes provide a basic single-loop SSVC solution for low complexity applications. Beside the correlations explored in single-loop solution, we employ an extra patch learning-based prediction mode named P-mode to further improve coding performance. In P-mode, the temporal and spatial correlations of the reference frames are explored simultaneously by the visual patch-based learning and mapping at pixel level. These correlations help enhance the accuracy of the inter-layer frame prediction from the base-layer reconstruction within a multi-loop structure. The experimental results show the effectiveness of the proposed SSVC scheme compared with simulcast case.
Keywords :
learning (artificial intelligence); video coding; HEVC scheme; P-mode; SSVC scheme; base-layer reconstruction; enhancement layer coding; extrapatch learning-based prediction mode; high efficiency video coding; interlayer frame prediction; interlayer intraprediction mode; multiloop structure; pixel level mapping; residual prediction; single-loop SSVC solution; spatial correlations; spatially scalable video coding; temporal correlations; visual patch-based learning; Correlation; Encoding; PSNR; Redundancy; Spatial resolution; Video coding; Visualization; HEVC; learning based patch mapping; scalable video coding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia and Expo (ICME), 2012 IEEE International Conference on
Conference_Location :
Melbourne, VIC
ISSN :
1945-7871
Print_ISBN :
978-1-4673-1659-0
Type :
conf
DOI :
10.1109/ICME.2012.172
Filename :
6298239
Link To Document :
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