Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/52011
Title: Joint Texture and Depth Coding using Cuboid Data Compression
Contributor(s): Paul, Manoranjan (author); Chakraborty, Subrata  (author)orcid ; Murshed, Manzur (author); Podder, Pallab Kanti (author)
Publication Date: 2016-06-09
DOI: 10.1109/ICCITechn.2015.7488057
Handle Link: https://hdl.handle.net/1959.11/52011
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.

Publication Type: Conference Publication
Conference Details: ICCIT 2015: 18th International Conference on Computer and Information Technology (ICCIT), Dhaka, Bangladesh, 21st - 23rd December, 2016
Source of Publication: 2015 18th International Conference on Computer and Information Technology (ICCIT), p. 138-143
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Place of Publication: United States of America
Fields of Research (FoR) 2020: 460199 Applied computing not elsewhere classified
460305 Image and video coding
461199 Machine learning not elsewhere classified
Socio-Economic Objective (SEO) 2020: 280115 Expanding knowledge in the information and computing sciences
Peer Reviewed: Yes
HERDC Category Description: E1 Refereed Scholarly Conference Publication
Appears in Collections:Conference Publication
School of Science and Technology

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