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A Codirectionality Assisted Motion Estimation...
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A Codirectionality Assisted Motion Estimation Algorithm

Abstract

Block-based motion estimation (ME) is the most computationally intensive part of a video encoder. In this paper a new genetic based search algorithm is proposed to speed up the process and find the best matching block. In the proposed method, the fitness function is compared with a predefined threshold to stop performing unnecessary computations. The initial population of the genetic algorithm is selected based on the spatial and temporal correlation among motion vectors. Considering the codirectionality among neighbouring vectors, we develop our algorithm. Since many blocks in a frame can be regarded as stationary or quasistationary the suggested initial population involves these kinds of blocks. Simulation results on popular test video sequences indicate higher performance of the proposed algorithm compared to the latest fast motion estimation algorithm.

Authors

Soroushmehr SMR; Samavi S; Shirani S

Volume

1

Pagination

pp. 1184-1187

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Publication Date

May 1, 2012

DOI

10.1109/iraniancee.2012.6292534

Name of conference

20th Iranian Conference on Electrical Engineering (ICEE2012)
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