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Proceedings Paper

An efficient wavelet-based motion estimation algorithm
Author(s): Jin-Woo Bae; Seung-Hyun Lee; Ji-Sang Yoo
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Paper Abstract

In this paper, we propose a wavelet-based fast motion estimation algorithm for video sequence encoding with a low bit-rate. By using one of the properties of the wavelet transform, multi-resolution analysis (MRA), and the spatial interpolation of an image, we can simultaneously reduce the prediction error and the computational complexity inherent in video sequence encoding. In addition, by defining a significant block (SB) based on the differential information of the wavelet coefficients between successive frames, the proposed algorithm enables us to make up for the increase in the number of motion vectors when the MRME algorithm is used. As a result, we are not only able to improve the peak signal-to-noise ratio (PSNR), but also reduce the computational complexity by up to 67%.

Paper Details

Date Published: 2 November 2004
PDF: 11 pages
Proc. SPIE 5558, Applications of Digital Image Processing XXVII, (2 November 2004); doi: 10.1117/12.558877
Show Author Affiliations
Jin-Woo Bae, Kwangwoon Univ. (South Korea)
Seung-Hyun Lee, Kwangwoon Univ. (South Korea)
Ji-Sang Yoo, Kwangwoon Univ. (South Korea)

Published in SPIE Proceedings Vol. 5558:
Applications of Digital Image Processing XXVII
Andrew G. Tescher, Editor(s)

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