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3D video compression based on high efficiency video coding

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HPC-UGent: the central High Performance Computing infrastructure of Ghent University
Abstract
With the advent of autostereoscopic displays, questions rise on how to efficiently compress the video information needed by such displays. Additionally, for gradual market acceptance of this new technology it is valuable to have a solution offering forward compatibility with stereo 3D video as it is used nowadays. In this paper, a multiview compression scheme making use of the efficient single-view coding tools used in High Efficiency Video Coding (HEVC) is provided. Although efficient single view compression can be obtained with HEVC, a multiview adaptation of this standard under development is proposed, offering additional coding gains. On average, for the texture information, the total bitrate can be reduced by 37.2% compared to simulcast HEVC. For depth map compression, gains largely depend on the quality of the captured content. Additionally, a forward compatible solution is proposed offering the possibility for a gradual upgrade from H.264/AVC based stereoscopic 3D systems to an HEVC-based autostereoscopic environment. With the proposed system, significant rate savings compared to Multiview Video Coding (MVC) are presented(1).
Keywords
Multiview video compression, MULTIVIEW VIDEO, HEVC, autostereoscopic 3D, H.264/AVC compatible

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  • 2012.02 - IEEE Transactions on Consumer Electronics - Glenn Van Wallendael et al - 3D Video Compression Based on High Efficiency Video Coding.pdf
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Citation

Please use this url to cite or link to this publication:

Chicago
Van Wallendael, Glenn, Sebastiaan Van Leuven, Jan De Cock, Fons Bruls, and Rik Van de Walle. 2012. “3D Video Compression Based on High Efficiency Video Coding.” Ieee Transactions on Consumer Electronics 58 (1): 137–145.
APA
Van Wallendael, G., Van Leuven, S., De Cock, J., Bruls, F., & Van de Walle, R. (2012). 3D video compression based on high efficiency video coding. IEEE TRANSACTIONS ON CONSUMER ELECTRONICS, 58(1), 137–145.
Vancouver
1.
Van Wallendael G, Van Leuven S, De Cock J, Bruls F, Van de Walle R. 3D video compression based on high efficiency video coding. IEEE TRANSACTIONS ON CONSUMER ELECTRONICS. 2012;58(1):137–45.
MLA
Van Wallendael, Glenn, Sebastiaan Van Leuven, Jan De Cock, et al. “3D Video Compression Based on High Efficiency Video Coding.” IEEE TRANSACTIONS ON CONSUMER ELECTRONICS 58.1 (2012): 137–145. Print.
@article{2099664,
  abstract     = {With the advent of autostereoscopic displays, questions rise on how to efficiently compress the video information needed by such displays. Additionally, for gradual market acceptance of this new technology it is valuable to have a solution offering forward compatibility with stereo 3D video as it is used nowadays. In this paper, a multiview compression scheme making use of the efficient single-view coding tools used in High Efficiency Video Coding (HEVC) is provided. Although efficient single view compression can be obtained with HEVC, a multiview adaptation of this standard under development is proposed, offering additional coding gains. On average, for the texture information, the total bitrate can be reduced by 37.2\% compared to simulcast HEVC. For depth map compression, gains largely depend on the quality of the captured content. Additionally, a forward compatible solution is proposed offering the possibility for a gradual upgrade from H.264/AVC based stereoscopic 3D systems to an HEVC-based autostereoscopic environment. With the proposed system, significant rate savings compared to Multiview Video Coding (MVC) are presented(1).},
  author       = {Van Wallendael, Glenn and Van Leuven, Sebastiaan and De Cock, Jan and Bruls, Fons and Van de Walle, Rik},
  issn         = {0098-3063},
  journal      = {IEEE TRANSACTIONS ON CONSUMER ELECTRONICS},
  keyword      = {Multiview video compression,MULTIVIEW VIDEO,HEVC,autostereoscopic 3D,H.264/AVC compatible},
  language     = {eng},
  number       = {1},
  pages        = {137--145},
  title        = {3D video compression based on high efficiency video coding},
  volume       = {58},
  year         = {2012},
}

Web of Science
Times cited: