Many of affine motion compensation techniques proposed thus far employ least-square-based techniques in estimating affine parameters, which requires a hardware structure different from conventional block-matching-based one. This paper proposes a new affine motion estimation/compensation framework friendly to block-matching-based parameter estimation, and applies it to an HEVC encoder to demonstrate its coding efficiency and computation cost. To avoid a nest of search loops, a new affine motion model is first introduced by decomposing the conventional 4-parameter affine model into two 3-parameter ones. Then, a block-matching-based fast parameter estimation technique is proposed for the models. The experimental results given in this paper show that our approach is advantageous over conventional techniques.
Chihiro TSUTAKE
University of Fukui
Toshiyuki YOSHIDA
University of Fukui
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Chihiro TSUTAKE, Toshiyuki YOSHIDA, "Block-Matching-Based Implementation of Affine Motion Estimation for HEVC" in IEICE TRANSACTIONS on Information,
vol. E101-D, no. 4, pp. 1151-1158, April 2018, doi: 10.1587/transinf.2017EDP7201.
Abstract: Many of affine motion compensation techniques proposed thus far employ least-square-based techniques in estimating affine parameters, which requires a hardware structure different from conventional block-matching-based one. This paper proposes a new affine motion estimation/compensation framework friendly to block-matching-based parameter estimation, and applies it to an HEVC encoder to demonstrate its coding efficiency and computation cost. To avoid a nest of search loops, a new affine motion model is first introduced by decomposing the conventional 4-parameter affine model into two 3-parameter ones. Then, a block-matching-based fast parameter estimation technique is proposed for the models. The experimental results given in this paper show that our approach is advantageous over conventional techniques.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2017EDP7201/_p
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@ARTICLE{e101-d_4_1151,
author={Chihiro TSUTAKE, Toshiyuki YOSHIDA, },
journal={IEICE TRANSACTIONS on Information},
title={Block-Matching-Based Implementation of Affine Motion Estimation for HEVC},
year={2018},
volume={E101-D},
number={4},
pages={1151-1158},
abstract={Many of affine motion compensation techniques proposed thus far employ least-square-based techniques in estimating affine parameters, which requires a hardware structure different from conventional block-matching-based one. This paper proposes a new affine motion estimation/compensation framework friendly to block-matching-based parameter estimation, and applies it to an HEVC encoder to demonstrate its coding efficiency and computation cost. To avoid a nest of search loops, a new affine motion model is first introduced by decomposing the conventional 4-parameter affine model into two 3-parameter ones. Then, a block-matching-based fast parameter estimation technique is proposed for the models. The experimental results given in this paper show that our approach is advantageous over conventional techniques.},
keywords={},
doi={10.1587/transinf.2017EDP7201},
ISSN={1745-1361},
month={April},}
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TY - JOUR
TI - Block-Matching-Based Implementation of Affine Motion Estimation for HEVC
T2 - IEICE TRANSACTIONS on Information
SP - 1151
EP - 1158
AU - Chihiro TSUTAKE
AU - Toshiyuki YOSHIDA
PY - 2018
DO - 10.1587/transinf.2017EDP7201
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E101-D
IS - 4
JA - IEICE TRANSACTIONS on Information
Y1 - April 2018
AB - Many of affine motion compensation techniques proposed thus far employ least-square-based techniques in estimating affine parameters, which requires a hardware structure different from conventional block-matching-based one. This paper proposes a new affine motion estimation/compensation framework friendly to block-matching-based parameter estimation, and applies it to an HEVC encoder to demonstrate its coding efficiency and computation cost. To avoid a nest of search loops, a new affine motion model is first introduced by decomposing the conventional 4-parameter affine model into two 3-parameter ones. Then, a block-matching-based fast parameter estimation technique is proposed for the models. The experimental results given in this paper show that our approach is advantageous over conventional techniques.
ER -