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Implementation Of Four-Step Search (4SS) Algorithm For Motion Estimation In Matlab

Norbayah , Yusop (2007) Implementation Of Four-Step Search (4SS) Algorithm For Motion Estimation In Matlab. Project Report. UTeM, Melaka, Malaysia. (Submitted)

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Abstract

Based on the real world image sequence's characteristic of center-biased motion vector distribution, a new four-step search (4SS) algorithm with center-biased checking point pattern for fast block motion estimation is proposed to be implemented thesis in this paper. Halfway-stop technique is employed in this algorithm with searching steps of 2 to 4 and the total number of checking points which is varied from 17 to 27. Simulation results show that the proposed 4SS performs better than the well-known three-step search (TSS), cross search (CS), cross diamond search (CDS) and has similar performance to the full search (FS) in terms of search points and PSNR. In addition, the 4SS also is more robust as compared with TSS and new three-step search (N3SS).

Item Type: Final Year Project (Project Report)
Uncontrolled Keywords: Computer algorithms, Computational complexity
Subjects: Q Science > Q Science (General)
Q Science > QA Mathematics > QA76 Computer software
Divisions: Library > Final Year Project > FKEKK
Depositing User: Mohd Syahrizal Mohd Razali
Date Deposited: 26 Jul 2013 22:01
Last Modified: 28 May 2015 03:53
URI: http://digitalcollection.utem.edu.my/id/eprint/7998

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