IEICE TRANSACTIONS on Fundamentals
Wavelet Half-Pel Accuracy Motion Estimation Algorithm by Selective Interpolation
Summary :
The current paper proposes a new method for reducing the computational overhead of fine-to-coarse multi-resolution motion estimation (MRME) on the finest resolution level based on limiting the search region used to consider the motion vectors from the coarsest resolution subband. Half-pel accuracy motion estimation (HPAME) is used in the baseband to achieve an exact motion vector, which has a significant influence on the reconstructed image. However, since this method involves a high computational overhead, the use of selective interpolation is suggested to reduce the computational overhead. The proposed method uses HPAME to estimate exact motion vectors in the baseband, then based on the characteristics of these motion vectors, the motion vectors in the higher frequency subbands are selectively estimated. That is, motion vectors in the higher frequency subbands are only estimated for those blocks with half-pixel accuracy motion vectors in the baseband. Experimental results show that the proposed algorithm can produce better image quality results than the conventional algorithms.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E85-A No.6 pp.1341-1344
- Publication Date
- 2002/06/01
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- Special Section LETTER (Special Section on Papers Selected from 2001 International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC 2001))
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Young-Hoon JOUNG, Hee-Chul HWANG, Tae-Yeon JUNG, Duk-Gyoo KIM, "Wavelet Half-Pel Accuracy Motion Estimation Algorithm by Selective Interpolation" in IEICE TRANSACTIONS on Fundamentals,
vol. E85-A, no. 6, pp. 1341-1344, June 2002, doi: .
Abstract: The current paper proposes a new method for reducing the computational overhead of fine-to-coarse multi-resolution motion estimation (MRME) on the finest resolution level based on limiting the search region used to consider the motion vectors from the coarsest resolution subband. Half-pel accuracy motion estimation (HPAME) is used in the baseband to achieve an exact motion vector, which has a significant influence on the reconstructed image. However, since this method involves a high computational overhead, the use of selective interpolation is suggested to reduce the computational overhead. The proposed method uses HPAME to estimate exact motion vectors in the baseband, then based on the characteristics of these motion vectors, the motion vectors in the higher frequency subbands are selectively estimated. That is, motion vectors in the higher frequency subbands are only estimated for those blocks with half-pixel accuracy motion vectors in the baseband. Experimental results show that the proposed algorithm can produce better image quality results than the conventional algorithms.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e85-a_6_1341/_p
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@ARTICLE{e85-a_6_1341,
author={Young-Hoon JOUNG, Hee-Chul HWANG, Tae-Yeon JUNG, Duk-Gyoo KIM, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Wavelet Half-Pel Accuracy Motion Estimation Algorithm by Selective Interpolation},
year={2002},
volume={E85-A},
number={6},
pages={1341-1344},
abstract={The current paper proposes a new method for reducing the computational overhead of fine-to-coarse multi-resolution motion estimation (MRME) on the finest resolution level based on limiting the search region used to consider the motion vectors from the coarsest resolution subband. Half-pel accuracy motion estimation (HPAME) is used in the baseband to achieve an exact motion vector, which has a significant influence on the reconstructed image. However, since this method involves a high computational overhead, the use of selective interpolation is suggested to reduce the computational overhead. The proposed method uses HPAME to estimate exact motion vectors in the baseband, then based on the characteristics of these motion vectors, the motion vectors in the higher frequency subbands are selectively estimated. That is, motion vectors in the higher frequency subbands are only estimated for those blocks with half-pixel accuracy motion vectors in the baseband. Experimental results show that the proposed algorithm can produce better image quality results than the conventional algorithms.},
keywords={},
doi={},
ISSN={},
month={June},}
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TY - JOUR
TI - Wavelet Half-Pel Accuracy Motion Estimation Algorithm by Selective Interpolation
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1341
EP - 1344
AU - Young-Hoon JOUNG
AU - Hee-Chul HWANG
AU - Tae-Yeon JUNG
AU - Duk-Gyoo KIM
PY - 2002
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E85-A
IS - 6
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - June 2002
AB - The current paper proposes a new method for reducing the computational overhead of fine-to-coarse multi-resolution motion estimation (MRME) on the finest resolution level based on limiting the search region used to consider the motion vectors from the coarsest resolution subband. Half-pel accuracy motion estimation (HPAME) is used in the baseband to achieve an exact motion vector, which has a significant influence on the reconstructed image. However, since this method involves a high computational overhead, the use of selective interpolation is suggested to reduce the computational overhead. The proposed method uses HPAME to estimate exact motion vectors in the baseband, then based on the characteristics of these motion vectors, the motion vectors in the higher frequency subbands are selectively estimated. That is, motion vectors in the higher frequency subbands are only estimated for those blocks with half-pixel accuracy motion vectors in the baseband. Experimental results show that the proposed algorithm can produce better image quality results than the conventional algorithms.
ER -
English
