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Video coding using multi-reference motion-adaptive transforms based on graphs
KTH, School of Electrical Engineering (EES), Information Science and Engineering.ORCID iD: 0000-0003-0381-3085
KTH, School of Electrical Engineering (EES), Sound and Image Processing (Closed 130101). KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre. KTH, School of Electrical Engineering (EES), Communication Theory.ORCID iD: 0000-0002-7807-5681
2016 (English)In: 2016 IEEE 12th Image, Video, and Multidimensional Signal Processing Workshop, IVMSP 2016, IEEE, 2016Conference paper, Published paper (Refereed)
Abstract [en]

The purpose of the work is to produce jointly coded frames for efficient video coding. We use motion-adaptive transforms in the temporal domain to generate the temporal subbands. The motion information is used to form graphs for transform construction. In our previous work, the motion-adaptive transform allows only one reference pixel to be the lowband coefficient. In this paper, we extend the motion-adaptive transform such that it permits multiple references and produces multiple lowband coefficients, which can be used in the case of bidirectional or multihypothesis motion estimation. The multi-reference motion-adaptive transform (MRMAT) is always orthonormal, thus, the energy is preserved by the transform. We compare MRMAT and the motion-compensated orthogonal transform (MCOT) [1], while HEVC intra coding is used to encode the temporal subbands. The experimental results show that MRMAT outperforms MCOT by about 0.6dB.

Place, publisher, year, edition, pages
IEEE, 2016.
Keyword [en]
Motion-adaptive transform, motioninherited graph, subspace constraint, Codes (symbols), Image processing, Motion analysis, Motion compensation, Motion estimation, Signal processing, Motion information, Multi-hypothesis, Multiple references, Orthogonal transforms, Reference pixels, Video signal processing
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:kth:diva-202176DOI: 10.1109/IVMSPW.2016.7528191ISI: 000392266500017Scopus ID: 2-s2.0-84991798781ISBN: 9781509019298 (print)OAI: oai:DiVA.org:kth-202176DiVA: diva2:1077627
Conference
12th IEEE Image, Video, and Multidimensional Signal Processing Workshop, IVMSP 2016, 11 July 2016 through 12 July 2016
Funder
Swedish Research Council, 2011-5841
Note

QC 20170228

Available from: 2017-02-28 Created: 2017-02-28 Last updated: 2017-03-02Bibliographically approved

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Other links

Publisher's full textScopushttp://signalprocessingsociety.org/blog/2016-ieee-12th-image-video-and-multidimensional-signal-processing-workshop-ivmsp-2016

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Flierl, Markus

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Information Science and EngineeringSound and Image Processing (Closed 130101)ACCESS Linnaeus CentreCommunication Theory
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CiteExportLink to record
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Citation style
  • apa
  • harvard1
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  • modern-language-association-8th-edition
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Language
  • de-DE
  • en-GB
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  • Other locale
More languages
Output format
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  • asciidoc
  • rtf