This paper presents a comparative study on technique to achieve high compression ratio in video coding. The focus is on the
Block Matching Motion Estimation (BMME) techniques. It has been particularly used in various coding standards. In the
BMME, search patterns and the center-biased characteristics of motion vector (MV) have large impact on the search speed
and quality of video. Three fast Block Matching Algorithms (BMAs) of motion estimation through block matching have
been implemented and performance of these three has been tested using MATLAB software.
The Cross Diamond Search (CDS) is compared with Full Search (FS) and Cross Search (CS) algorithms based on search
points (search speed) and peak signal-to-noise ratio (PSNR) as the quality of the video. The 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.
Keywords: Block-matching, motion estimation, digital video compression, cross-centered biased, cross diamond search.
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