Hierarchical stochastic fast search motion estimation algorithm

Many fast search motion estimation algorithms have been developed to reduce the computational cost required by full-search algorithms. Fast search motion estimation techniques often converge to a local minimum, providing a significant reduction in computational cost. The motion vector measurement pr...

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Vydané v:	IET computer vision Ročník 6; číslo 1; s. 21 - 28
Hlavní autori:	Tedmori, S., Al-Najdawi, N.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Stevenage Institution of Engineering and Technology 01.01.2012 John Wiley & Sons, Inc
Predmet:	Algorithms Applied sciences Blocking Computational efficiency Detection, estimation, filtering, equalization, prediction Estimates Exact sciences and technology Image processing Information, signal and communications theory Mathematical analysis Motion simulation Searching Signal and communications theory Signal processing Signal, noise Telecommunications and information theory Vectors (mathematics) Performance evaluation Motion estimation Image processing Kalman filter Stochastic method Computational complexity Search algorithm Block matching Accuracy Displacement measurement Signal processing Kalman filtering Fast algorithm
ISSN:	1751-9632, 1751-9640
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