DocumentCode :
3776088
Title :
Joint texture and depth coding using cuboid data compression
Author :
Manoranjan Paul;Subrata Chakraborty;Manzur Murshed;Pallab Kanti Podder
Author_Institution :
School of Computing and Mathematics, Charles Sturt University, Bathurst, NSW-2795, Australia
fYear :
2015
Firstpage :
138
Lastpage :
143
Abstract :
The latest multiview video coding (MVC) standards such as 3D-HEVC and H.264/MVC normally encodes texture and depth videos separately. Significant amount of rate-distortion performance and computational performance are sacrificed due to separate encoding due to the lack of exploitation of joint information. Obviously, separate encoding also creates synchronization issue for 3D scene formation in the decoder. Moreover, the hierarchical frame referencing architecture in the MVC creates random access frame delay. In this paper we develop an encoder and decoder framework where we can encode texture and depth video jointly by forming and encoding 3D cuboid using high dimensional entropy coding. The results from our experiments show that our proposed framework outperforms the 3D-HEVC in rate-distortion performance and reduces the computational time significantly by reducing random access frame delay.
Keywords :
"Three-dimensional displays","Encoding","Computer architecture","Quantization (signal)","Video coding","Standards","Delays"
Publisher :
ieee
Conference_Titel :
Computer and Information Technology (ICCIT), 2015 18th International Conference on
Type :
conf
DOI :
10.1109/ICCITechn.2015.7488057
Filename :
7488057
Link To Document :
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