NDLI: Depth-based motion vector prediction in 3D video coding

Content Provider	IEEE Xplore Digital Library
Author	Wenyi Su Rusanovskyy, D. Hannuksela, M.M. Houqiang Li
Copyright Year	2012
Description	Author affiliation: Nokia Research Center Tampere, Finland (Rusanovskyy, D.; Hannuksela, M.M.) \|\| University of Science and Technology of China Hefei, China (Wenyi Su; Houqiang Li)
Abstract	There are several data formats available for 3D video, among which is the Multiview Video plus Depth (MVD) representation that enables depth-image-based rendering (DIBR). In addition to DIBR, the MVD data format can enable more efficient compression for texture video coding. In this paper, we propose advanced motion vector prediction (MVP) techniques which utilize the availability of depth information in the MVD format for more efficient coding of the corresponding texture pictures. The proposed MVP was implemented on top of the Multiview Video Coding (MVC) extension of the Advanced Video Coding (H.264/AVC) standard and its reference software and tested under the simulation conditions of the Call for Proposals of 3D video coding technology issued by the Moving Picture Experts Group (MPEG). In the provided simulation results the proposed scheme significantly outperformed the conventional MVP (by up to 9.9% and on average by 7.5% in Bjontegaard delta bitrate) when it was applied for coding of 3-view MVD data.
Starting Page	37
Ending Page	40
File Size	628085
Page Count	4
File Format	PDF
ISBN	9781457720475
e-ISBN	9781457720499
e-ISBN	9781457720482
DOI	10.1109/PCS.2012.6213280
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-05-07
Publisher Place	Poland
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Video coding PSNR Bit rate 3DV Transform coding Encoding Vectors Three dimensional displays MVD motion vector prediction MVC
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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