Volume & Issue no: Volume 4, Issue 3, May - June 2015
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Title: |
Block Based Motion Estimation Approach Using Triple Successive
Selection Stages Pedestal on Descriptors
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Author Name: |
Bushra A. Sultan, Nidaa F. Hassan |
Abstract: |
Abstract
triple successive selection stages of block matching approach
based on block descriptors is introduced in this paper. Block
descriptors serve the search and play the role of indexing.
The searching scheme consist of three phases. Phase one
include the calculations of block descriptor values. Phase two
include triple successive selection stages, each stage use
divergent block descriptor value to pick sub set of nominee
seek points. Each selection stage has two filters. First filter
based on the comparison between the descriptor value of the
spots in the search region and the current block descriptor
value. only the points that satisfy the selection condition
passed that filter but the others obscured. Second filter
regulate the number of points passed to the next selection
stage. In phase three alteration quantity calculation
performed to the most recent nominee seek spots to get the
finest match and produce the movement information. For
judgment purposes the well known Exhaustive Search (ES)
and Three Step Search (TSS) algorithms are employed. The
test results indicate that the approach matching block
introduced quickly and efficiently, where its faster and more
accurate than TSS as well as near the ES accuracy.
Keywords: Motion Estimation, Block Matching,
Descriptor, Mean, Exhaustive Search, Three Step Search. |
Cite this article: |
Bushra A. Sultan, Nidaa F. Hassan , "
Block Based Motion Estimation Approach Using Triple Successive
Selection Stages Pedestal on Descriptors
" , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) ,
Volume 4, Issue 3, May - June 2015 , pp.
186-192 , ISSN 2278-6856.
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