1999
@inproceedings{WMN1999,
vgclass = {refpap},
vgproject = {cbir},
author = {P. Wu and B. S. Manjunath and S. D. Newsam and H. D. Shin},
title = {A Novel Texture Descriptor for Image Retrieval and Browsing},
booktitle = {IEEE Workshop on Content-based Access of Image and Video
Libraries (CBAIVL'99)},
address = {Fort Collins, Colorado, USA},
pages = {3--7},
month = {June~22},
year = {1999},
url = {http://vivaldi.ece.ucsb.edu/users/peng/cvpr99.ps},
abstract = {Image texture is an important visual primitive in image
search and retrieval applications. To characterize texture information
of images, a texture descriptor is proposed to capture both the
perceptual information and the statistics of textures. The descriptor
consists of two parts: a Perceptual Browsing Component (PBC) and a
Similarity Retrieval Component (SRC). The emphasis of this paper is to
introduce the extraction method for the PBC which is based on
multidimensional decomposition of images using Gabor filters. By
analyzing the one dimensional projections resulting from filtered
images, PCB gives a quantitative measure about the structuredness of
textures and also identifies the directionality and coarseness (scale).
Our experimental results demonstrate that PBC can capture these texture
properties quite well.},
}