Change search
Link to record
Permanent link

Direct link
Publications (1 of 1) Show all publications
Liu, D. & Flierl, M. (2019). Fractional-Pel Accurate Motion-Adaptive Transforms. IEEE Transactions on Image Processing, 28(6), 2731-2742, Article ID 8590746.
Open this publication in new window or tab >>Fractional-Pel Accurate Motion-Adaptive Transforms
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
Fractional-pel accurate motion; motionadaptive transforms; orthonormal transforms for video coding
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
urn:nbn:se:kth:diva-248684 (URN)10.1109/TIP.2018.2889917 (DOI)000462386000008 ()30596576 (PubMedID)2-s2.0-85059251036 (Scopus ID)
Swedish Research Council, 2011-5841

QC 20190424

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

Search in DiVA

Show all publications