Performance Analysis of Motion Estimation Algorithms on Digital Video Images

Abstract:

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An improvement on redundancy to achieve high compression ratio in video coding is developed. Block Matching Motion Estimation (BMME) techniques have been particularly used in various coding standards. In the BMME, search patterns with different shapes or sizes and the center-biased characteristics of motion vector (MV) have large impact on the search speed (search points) and peak signal-to-noise ratio (PSNR) as the quality of video images. These basic algorithms are Full Search and other two fast search methods. The Cross Diamond Search (CDS) algorithm was designed to fit the cross-center-biased (CCB) MV distribution characteristics of the real-world video sequences. CDS compares favorably with the other algorithms for low motion sequences in terms of speed, quality and computational complexity.

Info:

Periodical:

Edited by:

Abdul Nassir bin Ibrahim, Meor Yusoff Meor Sulaiman, Wan Saffiey Wan Abdullah, Mohd Reusmaazran Yusof, Amry Amin Abas and Khairiah Mohd Yazid

Pages:

174-178

DOI:

10.4028/www.scientific.net/AMM.83.174

Citation:

N. A. Ali et al., "Performance Analysis of Motion Estimation Algorithms on Digital Video Images", Applied Mechanics and Materials, Vol. 83, pp. 174-178, 2011

Online since:

July 2011

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Price:

$35.00

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