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Video coding using multi-reference motion-adaptive transforms based on graphs
KTH, Skolan för elektro- och systemteknik (EES), Teknisk informationsvetenskap.ORCID-id: 0000-0003-0381-3085
KTH, Skolan för elektro- och systemteknik (EES), Ljud- och bildbehandling (Stängd 130101). KTH, Skolan för elektro- och systemteknik (EES), Centra, ACCESS Linnaeus Centre. KTH, Skolan för elektro- och systemteknik (EES), Kommunikationsteori.ORCID-id: 0000-0002-7807-5681
2016 (engelsk)Inngår i: 2016 IEEE 12th Image, Video, and Multidimensional Signal Processing Workshop, IVMSP 2016, IEEE, 2016Konferansepaper, Publicerat paper (Fagfellevurdert)
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.

sted, utgiver, år, opplag, sider
IEEE, 2016.
Emneord [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
HSV kategori
Identifikatorer
URN: urn:nbn:se:kth:diva-202176DOI: 10.1109/IVMSPW.2016.7528191ISI: 000392266500017Scopus ID: 2-s2.0-84991798781ISBN: 9781509019298 (tryckt)OAI: oai:DiVA.org:kth-202176DiVA, id: diva2:1077627
Konferanse
12th IEEE Image, Video, and Multidimensional Signal Processing Workshop, IVMSP 2016, 11 July 2016 through 12 July 2016
Forskningsfinansiär
Swedish Research Council, 2011-5841
Merknad

QC 20170228

Tilgjengelig fra: 2017-02-28 Laget: 2017-02-28 Sist oppdatert: 2018-01-13bibliografisk kontrollert

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Forlagets fulltekstScopushttp://signalprocessingsociety.org/blog/2016-ieee-12th-image-video-and-multidimensional-signal-processing-workshop-ivmsp-2016

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