Stereo Coding with MVC

Metadata

Publisher: SMPTE — White Plains, NY, USA
Doc Type: Journal Article
Content Type: Original Research
Abbreviated Title: SMPTE Mot. Imag. J
Volume: 119, No. 7, pp. 56–61
Abstract: This paper presents an investigation into the coding efficiency of the multiview video coding (MVC) extension of MPEG-4 AVC/H.264. MVC adds prediction among multiple views to the temporal motion compensation and prediction known as intercoding. Here, we consider the case of only two views or stereo coding. How much coding gain should we expect from the addition of inter-view coding to the motion-only coding of left and right-eye images? To answer this question, we examine fundamental qualitative and quantitative differences between temporal motion vectors and stereo disparity vectors. These differences are related to simple properties of the images themselves, and they affect the entire prediction stage and hence overall coding efficiency. Results suggest that the differences in the statistics of motion vectors compared to those of disparity vectors, along with the statistics of the resulting residuals, offers insight into the overall coding efficiencies currently observed in stereo coding.
Publication Date: 2010-10-01
DOI: 10.5594/J17315
ISSN: Print: 1545-0279 | Electronic: 2160-2492
Link: https://doi.org/10.5594/J17315
Author(s): Walter GishDolby's Image Technology Research and Development group
bio
Walter Gish is principal member for Dolby's Image Technology Research and Development group, where he leads research and development efforts for next-generation imaging technology. He has more than 30 years of experience in signal and image processing, high-performance computing and hardware development. He began his career working on classified (Top Secret) sonar, radar, and image analysis applications for the U.S. government. Since the early 1980s he has focused on computer graphics, video, and display technology. Before joining Dolby Laboratories Gish was principal engineer at Evans & Sutherland, executive scientist at Terabit, and CTO at Interactive Machines, Inc. Gish received screen credit for his work on The Last Starfighter , the first full-length motion picture to use extensive CGI. He received special recognition from ISO/IEC for his contributions to the development of the High Profiles for H.264/AVC, which were awarded an Emmy in 2008. His current interests include compression algorithms, high dynamic range and wide color gamut imaging technology, and forensic watermarking. Gish received B.S. and MS degrees in physics and applied mathematics from the California Institute of Technology in 1968 and 1970, respectively.
Christopher VogtDolby's Image Technology Research and Development group
bio
Christopher Vogt has more than 30 years of experience in a variety of roles from developing a Lisp RISC processor architecture at Symbolics, Inc., to founding a company and developing an expert system for reviewing legal bills. In more recent years, Vogt has worked in the 2D and 3D image processing field. In his seven years at Dolby, he has been involved with video compression research, working on the Fidelity Range Extensions (FRExt) for H.264/AVC, and more recently on 2D compatible 3D compression. Vogt received a B.S. degree in computer science from the University of Nebraska in Lincoln in 1979.
Copyright: © 2010 Society of Motion Picture and Television Engineers, Inc.

Bibliographic Reference(s)

ISO/IEC 14496-10 [Active]
2. ITU , “Advanced Video Coding for Generic Audiovisual Services,” http://www.itu.int/rec/recommendation.asp?type=folders&lang=e&parent=T-REC-H.264 , March 2003 . EXTERNAL
3. ITU-T and ISO/IEC JTC 1, “Generic Coding of Moving Pictures and Associated Audio Information—Part 2: Video,” ITU-T Rec. H.262 and ISO/IEC 13818–2 (MPEG-2), Nov. 1994 . EXTERNAL
4. Joint Video Team of ITU-TVCEG and ISO/IEC MPEG. WD 1 Reference software for MVC (JMVC) 1.0, Doc. JVT-AA212, CH, Geneva, April, 2008 . EXTERNAL
5. Tian D. Pandit P. Yin P. Gomila C. , “Study of MVC Coding Tools,” ISO/IEC JTC1/SC29/WG11, JVT-Y044, http://wftp3.itu.int/av-arch/jvt-site/2007_10_Shenzhen/JVT-Y044.zip , 2007 . EXTERNAL

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Walter Gish and Christopher Vogt; Stereo Coding with MVC, SMPTE Motion Imaging Journal ( Volume: 119, Issue: 7, October 2010); SMPTE, 2010. Available at https://doi.org/10.5594/J17315

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Walter Gish and Christopher Vogt; Stereo Coding with MVC, SMPTE Motion Imaging Journal ( Volume: 119, Issue: 7, October 2010); SMPTE, 2010. Available at https://doi.org/10.5594/J17315

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Walter Gish and Christopher Vogt; Stereo Coding with MVC, SMPTE Motion Imaging Journal ( Volume: 119, Issue: 7, October 2010); SMPTE, 2010. Available at https://doi.org/10.5594/J17315

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<span class="citation">Walter Gish and Christopher Vogt; <cite>Stereo Coding with MVC</cite>, SMPTE Motion Imaging Journal ( Volume: 119, Issue: 7, October 2010); SMPTE, 2010. Available at <a href="https://doi.org/10.5594/J17315" target="_blank" rel="noopener">https://doi.org/10.5594/J17315</a></span>

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Walter Gish and Christopher Vogt; Stereo Coding with MVC, SMPTE Motion Imaging Journal ( Volume: 119, Issue: 7, October 2010); SMPTE, 2010
doi: 10.5594/J17315
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Walter Gish and Christopher Vogt; <cite id="bib-10-5594-j17315">Stereo Coding with MVC</cite>, SMPTE Motion Imaging Journal ( Volume: 119, Issue: 7, October 2010); SMPTE, 2010
<span class="doi">10.5594/J17315</span>
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