1999
@inproceedings{GaK1999,
vgclass = {refpap},
vgproject = {cbir},
author = {Ullas Gargi and Rangachar Kasturi},
title = {Image Database Querying Using a Multi-Scale Localized
Color Representation},
booktitle = {IEEE Workshop on Content-based Access of Image and Video
Libraries (CBAIVL'99)},
address = {Fort Collins, Colorado, USA},
pages = {28--32},
month = {June~22},
year = {1999},
url = {http://machine_vision.cse.psu.edu/\~{}gargi/wcbaivl99-abs.html},
abstract = {A computationally efficient method to encode the spatial
concentration of colors in images based on local histogram intersection
is introduced. The representation allows image matching at multiple
resolutions and partial matching of image regions without requiring
image segmentation or cluster approximations. The method has been
tested on a heterogeneous database of 16,643 images and video frames.
Results of objective evaluation using manually selected ground-truth
image queries as well as ground-truth video keyframe queries are
presented.},
}