JOURNAL ARTICLE

Fast block motion estimation using adaptive simulated annealing

Abstract

This paper presents a simulated annealing (SA)-based algorithm for fast adaptive block motion estimation. The new algorithm begins with a set of checking points by exploiting the high correlations among the motion vectors of the temporally and spatially adjacent blocks. The SA algorithm is then employed in the decision process to determine the next searching patterns. This new scheme provides the possibility of being able to move out of local minima so that the search process is less susceptible to such a dilemma. Additionally, an alternating search strategy is also addressed to visit more points without increasing computations. Simulation results show that the new algorithm offers superior performance with lower computational complexity compared with previous works.

Keywords:
Simulated annealing Maxima and minima Computer science Motion estimation Adaptive simulated annealing Algorithm Computation Block (permutation group theory) Computational complexity theory Mathematical optimization Search algorithm Set (abstract data type) Process (computing) Artificial intelligence Mathematics

Metrics

3
Cited By
0.29
FWCI (Field Weighted Citation Impact)
10
Refs
0.52
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Video Coding and Compression Technologies
Physical Sciences →  Computer Science →  Signal Processing
Advanced Vision and Imaging
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Image Processing Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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