Refereed full papers (journals, book chapters, international conferences)

1999

@article{MAP1999,
	vgclass =	{refpap},
	vgproject =	{cbir},
	author =	{M. K. Mandal and Tyseer Aboulnasr and Sethuraman
	Panchanathan},
	title =	{Fast Wavelet Histogram Techniques for Image Indexing},
	journal =	{Computer Vision and Image Understanding (special issue on content-based access for image
	and video libraries)},
	volume =	{75},
	number =	{1/2},
	pages =	{99--110},
	month =	{July/August},
	year =	{1999},
	abstract =	{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.},
}