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Please use this identifier to cite or link to this item:
http://hdl.handle.net/2080/1165
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| Title: | An efficient bidirectional frame prediction using particle swarm optimization technique |
| Authors: | Ranganadham, D
Gorpuni, P K |
| Keywords: | Average mean square prediction,
Macroblock,
Particle swarm optimization,
Motion vector. |
| Issue Date: | 2009 |
| Citation: | International Conference on Advances in Recent Technologies in Communication and Computing, 2009, Article number 5328092, Pages 42-46 |
| Abstract: | This paper presents a Novel Bidirectional motion
estimation technique, which is based on the Particle swarm optimization algorithm. Particle swarm optimization (PSO) is a population based optimization technique which has the potentiality to avoid local minima solution which is usually
encountered by the traditional block matching algorithms (BMA) such as the three step search (TSS) and the diamond search (DS). To speed up the search, static macro blocks are found in our
method, which is particularly beneficial to those video sequences containing small motion contents. Skipping such static macro blocks from processing can save the computation time and memory also. In the proposed method each time we are finding
the best matching macro block in two frames at a time so we can reduce the number of error function calculations and it is faster than if we apply PSO technique to find forward motion vector
and backward motion vector separately. The proposed method is applied to a number of... |
| URI: | http://dx.doi.org/10.1109/ARTCom.2009.87
http://hdl.handle.net/2080/1165 |
| Appears in Collections: | Conference Papers
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| Published_paper.pdf | | 475Kb | Adobe PDF | View/Open |
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