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Fractional-Pel Accurate Motion-Adaptive Transforms
KTH, School of Electrical Engineering and Computer Science (EECS), Information Science and Engineering.ORCID iD: 0000-0003-0381-3085
KTH, School of Electrical Engineering and Computer Science (EECS), Information Science and Engineering.ORCID iD: 0000-0002-7807-5681
2019 (English)In: IEEE Transactions on Image Processing, ISSN 1057-7149, E-ISSN 1941-0042, Vol. 28, no 6, p. 2731-2742, article id 8590746Article in journal (Refereed) Published
Abstract [en]

Fractional-pel accurate motion is widely used in video coding. For subband coding, fractional-pel accuracy is challenging since it is difficult to handle the complex motion field with temporal transforms. In our previous work, we designed integer accurate motion-adaptive transforms (MAT) which can transform integer accurate motion-connected coefficients. In this paper, we extend the integer MAT to fractional-pel accuracy. The integer MAT allows only one reference coefficient to be the lowhand coefficient. In this paper, we design the transform such that it permits multiple references and generates multiple low-band coefficients. In addition, our fractional-pel MAT can incorporate a general interpolation filter into the basis vector, such that the highband coefficient produced by the transform is the same as the prediction error from the interpolation filter. The fractional-pel MAT is always orthonormal. Thus, the energy is preserved by the transform. We compare the proposed fractional-pel MAT, the integer MAT, and the half-pel motion-compensated orthogonal transform (MCOT), while HEVC intra coding is used to encode the temporal subbands. The experimental results show that the proposed fractional-pel MAT outperforms the integer MAT and the half-pel MCOT. The gain achieved by the proposed MAT over the integer MAT can reach up to 1 dB in PSNR.

Place, publisher, year, edition, pages
IEEE, 2019. Vol. 28, no 6, p. 2731-2742, article id 8590746
Keywords [en]
Fractional-pel accurate motion; motionadaptive transforms; orthonormal transforms for video coding
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-248684DOI: 10.1109/TIP.2018.2889917ISI: 000462386000008PubMedID: 30596576Scopus ID: 2-s2.0-85059251036OAI: oai:DiVA.org:kth-248684DiVA, id: diva2:1303486
Funder
Swedish Research Council, 2011-5841
Note

QC 20190424

Available from: 2019-04-09 Created: 2019-04-09 Last updated: 2019-04-24Bibliographically approved

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Liu, DuFlierl, Markus

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