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New Motion Estimation Algorithm and Its Block-Matching Criteria Using Low-Resolution Quantization

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Authors
Lee, Seongsoo; Chae, Soo-Ik
Issue Date
1998-08
Citation
International Technical Conference on Circuits/Systems, Computers and Communications, pp.175-182
Abstract
We propose a new motion estimation algorithm
and its block-matching criteria using low-resolution
quantization. The proposed algorithm reduces both the huge
computational cost of the full search algorithm and the
performance degradation of the fast algorithms by matching
the low-resolution images. Two search steps called the lowresolution
search and the full-resolution search are employed.
Simulation results show that the PSNR of the proposed
algorithm is superior to those of the 4:1 alternate subsampling
algorithm with less computational cost. Its computational cost
is 1/38.1 of the full search algorithm.
Language
English
URI
https://hdl.handle.net/10371/21388
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College of Engineering/Engineering Practice School (공과대학/대학원)Dept. of Electrical and Computer Engineering (전기·정보공학부)Others_전기·정보공학부
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