The newest video coding standard called H.264 provides considerable performance improvement over a wide range of bit rates and video resolutions compared to previous standards. However, these features result in an extraordinary increase in encoder complexity, mainly regarding to mode decision and multiple reference frame motion estimation (ME). This letter presents two algorithms to reduce the computational complexity caused by motion estimation. The adaptive search range decision method determines the search range size according to the motion vector predictor dynamically and the early termination scheme defines a criterion to early terminate the search processing for multiple reference frames. Experimental results show that the proposed algorithms provide significant improvement of coding speed with negligible objective quality degradation compared to the fast motion estimation algorithms adopted by reference software.
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Gwo-Long LI, Mei-Juan CHEN, "Adaptive Search Range Decision and Early Termination for Multiple Reference Frame Motion Estimation for H.264" in IEICE TRANSACTIONS on Communications,
vol. E89-B, no. 1, pp. 250-253, January 2006, doi: 10.1093/ietcom/e89-b.1.250.
Abstract: The newest video coding standard called H.264 provides considerable performance improvement over a wide range of bit rates and video resolutions compared to previous standards. However, these features result in an extraordinary increase in encoder complexity, mainly regarding to mode decision and multiple reference frame motion estimation (ME). This letter presents two algorithms to reduce the computational complexity caused by motion estimation. The adaptive search range decision method determines the search range size according to the motion vector predictor dynamically and the early termination scheme defines a criterion to early terminate the search processing for multiple reference frames. Experimental results show that the proposed algorithms provide significant improvement of coding speed with negligible objective quality degradation compared to the fast motion estimation algorithms adopted by reference software.
URL: https://globals.ieice.org/en_transactions/communications/10.1093/ietcom/e89-b.1.250/_p
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@ARTICLE{e89-b_1_250,
author={Gwo-Long LI, Mei-Juan CHEN, },
journal={IEICE TRANSACTIONS on Communications},
title={Adaptive Search Range Decision and Early Termination for Multiple Reference Frame Motion Estimation for H.264},
year={2006},
volume={E89-B},
number={1},
pages={250-253},
abstract={The newest video coding standard called H.264 provides considerable performance improvement over a wide range of bit rates and video resolutions compared to previous standards. However, these features result in an extraordinary increase in encoder complexity, mainly regarding to mode decision and multiple reference frame motion estimation (ME). This letter presents two algorithms to reduce the computational complexity caused by motion estimation. The adaptive search range decision method determines the search range size according to the motion vector predictor dynamically and the early termination scheme defines a criterion to early terminate the search processing for multiple reference frames. Experimental results show that the proposed algorithms provide significant improvement of coding speed with negligible objective quality degradation compared to the fast motion estimation algorithms adopted by reference software.},
keywords={},
doi={10.1093/ietcom/e89-b.1.250},
ISSN={1745-1345},
month={January},}
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TY - JOUR
TI - Adaptive Search Range Decision and Early Termination for Multiple Reference Frame Motion Estimation for H.264
T2 - IEICE TRANSACTIONS on Communications
SP - 250
EP - 253
AU - Gwo-Long LI
AU - Mei-Juan CHEN
PY - 2006
DO - 10.1093/ietcom/e89-b.1.250
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E89-B
IS - 1
JA - IEICE TRANSACTIONS on Communications
Y1 - January 2006
AB - The newest video coding standard called H.264 provides considerable performance improvement over a wide range of bit rates and video resolutions compared to previous standards. However, these features result in an extraordinary increase in encoder complexity, mainly regarding to mode decision and multiple reference frame motion estimation (ME). This letter presents two algorithms to reduce the computational complexity caused by motion estimation. The adaptive search range decision method determines the search range size according to the motion vector predictor dynamically and the early termination scheme defines a criterion to early terminate the search processing for multiple reference frames. Experimental results show that the proposed algorithms provide significant improvement of coding speed with negligible objective quality degradation compared to the fast motion estimation algorithms adopted by reference software.
ER -