This paper proposes a novel technique for performing fast block matching for motion estimation which is optimal, meaning it yields the same results as a full-search investigation. The proposed technique derives from an approach previously proposed [10] for template matching and it is based on the deployment of a succession of lower bounding functions of the matching metric. Hence, an algorithm is outlined which efficiently exploits these bounding functions in order to rapidly determine non-matching block candidates, thus reducing the overall computational burden. Experimental results show that, compared to the brute-force approach, the proposed technique allows for notable reductions in terms of number of operations and computation times.

S. Mattoccia, F. Tombari, L. Di Stefano, M. Pignoloni (2007). Efficient and optimal block matching for motion estimation. LOS ALAMITOS, CA : IEEE Computer Society [10.1109/ICIAP.2007.4362859].

Efficient and optimal block matching for motion estimation

MATTOCCIA, STEFANO;TOMBARI, FEDERICO;DI STEFANO, LUIGI;
2007

Abstract

This paper proposes a novel technique for performing fast block matching for motion estimation which is optimal, meaning it yields the same results as a full-search investigation. The proposed technique derives from an approach previously proposed [10] for template matching and it is based on the deployment of a succession of lower bounding functions of the matching metric. Hence, an algorithm is outlined which efficiently exploits these bounding functions in order to rapidly determine non-matching block candidates, thus reducing the overall computational burden. Experimental results show that, compared to the brute-force approach, the proposed technique allows for notable reductions in terms of number of operations and computation times.
2007
ICIAP 2007 - 14th IAPR International Conference on Image Analysis and Processing
705
710
S. Mattoccia, F. Tombari, L. Di Stefano, M. Pignoloni (2007). Efficient and optimal block matching for motion estimation. LOS ALAMITOS, CA : IEEE Computer Society [10.1109/ICIAP.2007.4362859].
S. Mattoccia; F. Tombari; L. Di Stefano; M. Pignoloni
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/47782
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