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Joint Texture and Depth Coding using Cuboid Data Compression

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publication2015 18th International Conference on Computer and Information Technology (ICCIT)
Place of PublicationUnited States of America
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages138-143
ISBN (Print)9781467399302
DOIs
Publication statusPublished - 9 Jun 2016
EventICCIT 2015: 18th International Conference on Computer and Information Technology (ICCIT) - Dhaka, Bangladesh
Duration: 21 Dec 201623 Dec 2016

Conference

ConferenceICCIT 2015: 18th International Conference on Computer and Information Technology (ICCIT)
CityDhaka, Bangladesh
Period21/12/1623/12/16

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