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Efficient block-based motion estimation architecture using particle swarm optimization
Joint Authors
Rajamanickam, Vani
Marikkannan, Sangeetha
Source
The International Arab Journal of Information Technology
Issue
Vol. 13, Issue 6A(s) (31 Dec. 2016)
Publisher
Publication Date
2016-12-31
Country of Publication
Jordan
Main Subjects
Information Technology and Computer Science
Abstract EN
High speed video transmission is the key to achieve high quality live or through offline streaming.
Block matching motion estimation is adopted in video coding standards to improve the performance in terms of speed and at the same time, the power consumption should be minimal.
The paper proposes an efficient Block-based Motion Estimation architecture, in which the Motion Vectors (MV) are obtained by searching for the best match in the previous frame.
A resizable smart snake order is utilized for scanning the frames of different block sizes which improves the data reuse efficiency.
The architecture is based on applying the global search ability of Particle Swarm Optimization (PSO) that reduces the number of logic elements.
The parallel execution involved in the processing of sub-regions in the search window enables the architecture to achieve high speed.
The proposed work coded in Verilog Hardware Description Language, and implemented with Altera Cyclone II FPGA, operates at a maximum frequency of 265.01MHz.
It is observed that the total thermal power dissipation is 74.27 mw, making it suitably efficient for low power implementation of Motion Estimation
American Psychological Association (APA)
Rajamanickam, Vani& Marikkannan, Sangeetha. 2016. Efficient block-based motion estimation architecture using particle swarm optimization. The International Arab Journal of Information Technology،Vol. 13, no. 6A(s).
https://search.emarefa.net/detail/BIM-707884
Modern Language Association (MLA)
Rajamanickam, Vani& Marikkannan, Sangeetha. Efficient block-based motion estimation architecture using particle swarm optimization. The International Arab Journal of Information Technology Vol. 13, no. 6A (Special issue) (Dec. 2016).
https://search.emarefa.net/detail/BIM-707884
American Medical Association (AMA)
Rajamanickam, Vani& Marikkannan, Sangeetha. Efficient block-based motion estimation architecture using particle swarm optimization. The International Arab Journal of Information Technology. 2016. Vol. 13, no. 6A(s).
https://search.emarefa.net/detail/BIM-707884
Data Type
Journal Articles
Language
English
Notes
Includes appendices.
Record ID
BIM-707884