Joint texture and depth coding using cuboid data compression

- Paul, Manoranjan, Chakraborty, Subrata, Murshed, Manzur, Podder, Pallab

Title
Joint texture and depth coding using cuboid data compression
Creator
Paul, Manoranjan; Chakraborty, Subrata; Murshed, Manzur; Podder, Pallab
Date
2015
Type
Text; Conference proceedings
Identifier
http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/154671
Identifier
vital:11155
Identifier
https://doi.org/10.1109/ICCITechn.2015.7488057
Identifier
ISBN:978-14697399302
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.
Publisher
IEEE
Relation
2015 18th International Conference on Computer and Information Technology (ICCIT); Dhaka, Bangladesh; 21st-23rd December 2015 p. 138-143
Rights
Copyright ©2015
Rights
This metadata is freely available under a CCO license
Subject
Video coding; Cuboid; McFIS; Dynamic background; Mutiview video
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