2000
@inproceedings{CLL2000,
vgclass = {refpap},
vgproject = {cbir},
author = {Edward Y. Chang and Beitao Li and Chen Li},
title = {Toward Perception-Based Image Retrieval},
booktitle = {IEEE Workshop on Content-based Access of Image and Video
Libraries (CBAIVL'00)},
address = {Hilton Head, South Carolina, USA},
pages = {101--105},
month = {June~16},
year = {2000},
url = {http://www.ics.uci.edu/\~{}chenli/pub/cbaivl.pdf},
abstract = {Since a content-based image retrieval (CBIR) system
services people, its image characterization and similarity measure must
closely follow perceptual characteristics. In this study, we enumerate
a few psychological and physiological invariants and show how they can
be considered by a CBIR system. We propose distance functions to
measure perceptual similarity for color, shape, and spatial
distribution. In addition, we believe that an image search engine
should model after our visual system, which adjusts to the environment
and adapts to the visual goals. We show that we can decompose our
visual front-end into filters of different functions and resolutions. A
pipeline of filters can be dynamically constructed to meet the
requirement of a search task and to adapt to individuals' search
objectives.},
}