Joint texture and depth coding using cuboid data compression

Paper


Paul, Manoranjan, Chakraborty, Subrata, Murshed, Manzur and Podder, Pallab Kanti. 2015. "Joint texture and depth coding using cuboid data compression." IEEE 18th International Conference on Computer and Information Technology. Dhaka, Bangladesh 21 - 23 Dec 2015 United States.
Paper/Presentation Title

Joint texture and depth coding using cuboid data compression

Presentation TypePaper
AuthorsPaul, Manoranjan (Author), Chakraborty, Subrata (Author), Murshed, Manzur (Author) and Podder, Pallab Kanti (Author)
Journal or Proceedings TitleProceedings of the IEEE 18th International Conference on Computer and Information Technology (ICCIT)
ERA Conference ID42931
Number of Pages6
Year2015
Place of PublicationUnited States
Web Address (URL) of Paperhttp://www.iccit.org.bd/2015/
Conference/EventIEEE 18th International Conference on Computer and Information Technology
IEEE International Conference on Computer and Information Technology
Event Details
IEEE International Conference on Computer and Information Technology
CIT
Rank
C
C
C
C
C
Event Details
IEEE 18th International Conference on Computer and Information Technology
Event Date
21 to end of 23 Dec 2015
Event Location
Dhaka, Bangladesh
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.

Keywordsvideo coding; cuboid; McFIS; dynamic background; mutiview video
ANZSRC Field of Research 2020460306. Image processing
Public Notes

© 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Byline AffiliationsCharles Sturt University
School of Management and Enterprise
Federation University
Institution of OriginUniversity of Southern Queensland
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