TY - JOUR
T1 - Fast wavelet histogram techniques for image indexing
AU - Mandal, M. K.
AU - Aboulnasr, T.
AU - Panchanathan, Sethuraman
N1 - Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
PY - 1999/7
Y1 - 1999/7
N2 - Content-based image indexing is emerging as an important research area with application to digital libraries and multimedia databases. A majority of indexing techniques are based on pixel domain features such as histogram, color, texture, and shape. However, with recent advances in image compression, compressed domain indexing techniques are gaining popularity due to their low complexity. Recently, a wavelet histogram technique which exploits the directional properties of wavelet transform has been proposed in the literature. Although, this technique provides a good retrieval performance for texture images, its complexity is very high. In this paper, we propose three techniques to reduce the complexity of the wavelet histogram method. These techniques together provide a superior performance at a substantially reduced complexity and, hence, can be considered as a potential candidate for developing a joint wavelet-based image storage and retrieval system.
AB - Content-based image indexing is emerging as an important research area with application to digital libraries and multimedia databases. A majority of indexing techniques are based on pixel domain features such as histogram, color, texture, and shape. However, with recent advances in image compression, compressed domain indexing techniques are gaining popularity due to their low complexity. Recently, a wavelet histogram technique which exploits the directional properties of wavelet transform has been proposed in the literature. Although, this technique provides a good retrieval performance for texture images, its complexity is very high. In this paper, we propose three techniques to reduce the complexity of the wavelet histogram method. These techniques together provide a superior performance at a substantially reduced complexity and, hence, can be considered as a potential candidate for developing a joint wavelet-based image storage and retrieval system.
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U2 - 10.1006/cviu.1999.0766
DO - 10.1006/cviu.1999.0766
M3 - Article
AN - SCOPUS:0032638885
SN - 1077-3142
VL - 75
SP - 99
EP - 110
JO - Computer Vision and Image Understanding
JF - Computer Vision and Image Understanding
IS - 1
ER -