Disparity-adjusted 3D multi-view video coding with dynamic background modelling

Manoranjan Paul, Chris Evans, Manzur Murshed

Research output: Book chapter/Published conference paperConference paper

9 Citations (Scopus)
4 Downloads (Pure)

Abstract

Capturing a scene using multiple cameras from different angles is expected to provide the necessary interactivity in the 3D space to satisfy end-users' demands for observing objects and actions from different angles and depths. Existing multiview video coding(MVC) technologies are not sufficiently agile to exploit the interactivity and inefficient in terms of image quality and computational time. In this paper a novel technique is proposed using disparity-adjusted 3D MVC (DA-3D-MVC) with 3D motion estimation (ME) and 3D coding to overcome the problems. In the proposed scheme, a 3D frame is formed using the same temporal frames of all disparity-adjusted views and ME is carried out for the current 3D macroblock using the immediate previous 3D frame asa reference frame. Then, 3D coding technique is used for better compression. As all the same temporal position frames of all views are encoded at the same time, the proposed scheme provides better interactivity and reduced computational time compared to the H.264/MVC. To improve the rate-distortion (RD) performance of the proposed technique, an additional reference frame comprising dynamic background is also used. Experimental results reveal that the proposed scheme outperforms the H.264/MVC in terms of RD performance, computational time, and interactivity.
Original languageEnglish
Title of host publication2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings
Place of PublicationUnited States
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages1719-1723
Number of pages5
ISBN (Electronic)9781479923410
DOIs
Publication statusPublished - 2013
Event2013 20th IEEE International Conference on Image Processing: ICIP 2013 - Melbourne Convention and Exhibition Centre, Melbourne, Australia
Duration: 15 Sep 201318 Sep 2013
https://www2.securecms.com/ICIP2013/

Conference

Conference2013 20th IEEE International Conference on Image Processing
CountryAustralia
CityMelbourne
Period15/09/1318/09/13
OtherThe International Conference on Image Processing (ICIP), sponsored by the IEEE Signal Processing Society, is the premier forum for the presentation of technological advances and research results in the fields of theoretical, experimental, and applied image and video processing. ICIP 2013, the twentieth in the series that has been held annually since 1994, brings together leading engineers and scientists in image and video processing from around the world.
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