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Fractional-Pel Accurate Motion-Adaptive Transforms
KTH, Skolan för elektroteknik och datavetenskap (EECS), Teknisk informationsvetenskap.ORCID-id: 0000-0003-0381-3085
KTH, Skolan för elektroteknik och datavetenskap (EECS), Teknisk informationsvetenskap.ORCID-id: 0000-0002-7807-5681
2019 (engelsk)Inngår i: IEEE Transactions on Image Processing, ISSN 1057-7149, E-ISSN 1941-0042, Vol. 28, nr 6, s. 2731-2742, artikkel-id 8590746Artikkel i tidsskrift (Fagfellevurdert) 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.

sted, utgiver, år, opplag, sider
IEEE, 2019. Vol. 28, nr 6, s. 2731-2742, artikkel-id 8590746
Emneord [en]
Fractional-pel accurate motion; motionadaptive transforms; orthonormal transforms for video coding
HSV kategori
Identifikatorer
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
Forskningsfinansiär
Swedish Research Council, 2011-5841
Merknad

QC 20190424

Tilgjengelig fra: 2019-04-09 Laget: 2019-04-09 Sist oppdatert: 2019-04-24bibliografisk kontrollert

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