An Efficient Wavelet-Based Motion Estimation Algorithm

Jin-Woo BAE; Seung-Hyun LEE; Ji-Sang YOO

doi:10.1093/ietisy/e88-d.1.143

An Efficient Wavelet-Based Motion Estimation Algorithm

Jin-Woo BAE, Seung-Hyun LEE, Ji-Sang YOO

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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 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 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%.

Publication: IEICE TRANSACTIONS on Information Vol.E88-D No.1 pp.143-149

Publication Date: 2005/01/01

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DOI: 10.1093/ietisy/e88-d.1.143

Type of Manuscript: PAPER

Category: Image Processing and Video Processing

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Jin-Woo BAE, Seung-Hyun LEE, Ji-Sang YOO, "An Efficient Wavelet-Based Motion Estimation Algorithm" in IEICE TRANSACTIONS on Information, vol. E88-D, no. 1, pp. 143-149, January 2005, doi: 10.1093/ietisy/e88-d.1.143.
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 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 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%.
URL: https://globals.ieice.org/en_transactions/information/10.1093/ietisy/e88-d.1.143/_p

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@ARTICLE{e88-d_1_143,
author={Jin-Woo BAE, Seung-Hyun LEE, Ji-Sang YOO, },
journal={IEICE TRANSACTIONS on Information},
title={An Efficient Wavelet-Based Motion Estimation Algorithm},
year={2005},
volume={E88-D},
number={1},
pages={143-149},
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 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 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%.},
keywords={},
doi={10.1093/ietisy/e88-d.1.143},
ISSN={},
month={January},}

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TY - JOUR
TI - An Efficient Wavelet-Based Motion Estimation Algorithm
T2 - IEICE TRANSACTIONS on Information
SP - 143
EP - 149
AU - Jin-Woo BAE
AU - Seung-Hyun LEE
AU - Ji-Sang YOO
PY - 2005
DO - 10.1093/ietisy/e88-d.1.143
JO - IEICE TRANSACTIONS on Information
SN -
VL - E88-D
IS - 1
JA - IEICE TRANSACTIONS on Information
Y1 - January 2005
AB - 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 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 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%.
ER -