The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Afin de réduire la quantité de calcul de l'algorithme de recherche complet pour une estimation rapide du mouvement, nous proposons un nouvel algorithme de correspondance rapide sans aucune dégradation des images prédites. La réduction informatique sans aucune dégradation provient d'un algorithme de balayage de correspondance adaptatif en fonction de la complexité de l'image du bloc de référence dans l'image actuelle. Expérimentalement, nous réduisons considérablement la charge de calcul par rapport à l’algorithme de recherche complète conventionnel.
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Jong Nam KIM, Tae-Sun CHOI, "Fast Full Search Algorithm Using Adaptive Matching Scan Based on Gradient Magnitude" in IEICE TRANSACTIONS on Communications,
vol. E84-B, no. 3, pp. 694-697, March 2001, doi: .
Abstract: To reduce an amount of computation of full search algorithm for fast motion estimation, we propose a new and fast matching algorithm without any degradation of predicted images. The computational reduction without any degradation comes from adaptive matching scan algorithm according to the image complexity of the reference block in current frame. Experimentally, we significantly reduce the computational load compared with conventional full search algorithm.
URL: https://global.ieice.org/en_transactions/communications/10.1587/e84-b_3_694/_p
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@ARTICLE{e84-b_3_694,
author={Jong Nam KIM, Tae-Sun CHOI, },
journal={IEICE TRANSACTIONS on Communications},
title={Fast Full Search Algorithm Using Adaptive Matching Scan Based on Gradient Magnitude},
year={2001},
volume={E84-B},
number={3},
pages={694-697},
abstract={To reduce an amount of computation of full search algorithm for fast motion estimation, we propose a new and fast matching algorithm without any degradation of predicted images. The computational reduction without any degradation comes from adaptive matching scan algorithm according to the image complexity of the reference block in current frame. Experimentally, we significantly reduce the computational load compared with conventional full search algorithm.},
keywords={},
doi={},
ISSN={},
month={March},}
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TY - JOUR
TI - Fast Full Search Algorithm Using Adaptive Matching Scan Based on Gradient Magnitude
T2 - IEICE TRANSACTIONS on Communications
SP - 694
EP - 697
AU - Jong Nam KIM
AU - Tae-Sun CHOI
PY - 2001
DO -
JO - IEICE TRANSACTIONS on Communications
SN -
VL - E84-B
IS - 3
JA - IEICE TRANSACTIONS on Communications
Y1 - March 2001
AB - To reduce an amount of computation of full search algorithm for fast motion estimation, we propose a new and fast matching algorithm without any degradation of predicted images. The computational reduction without any degradation comes from adaptive matching scan algorithm according to the image complexity of the reference block in current frame. Experimentally, we significantly reduce the computational load compared with conventional full search algorithm.
ER -