Title
SNR Scalable Extension for 3D-HEVC
Abstract
In this paper we present a SNR scalable extension design on three-dimensional video compression using High Efficiency Video Coding (3D-HEVC). A multi-loop decoder solution is integrated into the proposed scalable coding serves as the whole framework for the SNR scalable 3D-HEVC. To effectively improve the coding performance, an inter-layer texture prediction is extended into the proposed scalable scenario for texture views and depth maps. To further reduce complexity and bitrate, a novel inter-layer distortion less prediction method is added because of the smooth texture characteristic in depth maps.
Year
DOI
Venue
2014
10.1109/DCC.2014.29
DCC
Keywords
Field
DocType
bitrate reduction,texture smoothing,texture views,scalability,3d video,depth maps,multiloop decoder,snr scalable extension,scalable coding,data compression,hevc,3d video compression,3d hevc,video coding,high efficiency video coding,image texture,interlayer distortionless texture prediction method,complexity reduction,encoding,signal to noise ratio
Computer vision,Texture compression,Coding tree unit,Computer science,Adaptive Scalable Texture Compression,Multiview Video Coding,Theoretical computer science,Artificial intelligence,Data compression,Video compression picture types,Context-adaptive binary arithmetic coding,Scalable Video Coding
Conference
ISSN
Citations 
PageRank 
1068-0314
0
0.34
References 
Authors
1
3
Name
Order
Citations
PageRank
Mengmeng Zhang111524.91
Hongyun Lu200.34
Bai Huihui324341.01