1999
@inproceedings{TaG1999,
vgclass = {fullconf},
vgproject = {cbir},
author = {Yi Tao and W.I. Grosky},
title = {Object-Based Image Retrieval Using Point Feature Maps},
booktitle = {Proceedings of the International Conference on Database
Semantics (DS-8)},
address = {Rotorua, New Zealand},
pages = {59--73},
month = {January},
year = {1999},
url = {http://zeus.cs.wayne.edu/\~{}grosky/Papers/99NewZealand.pdf},
abstract = {In this paper, we address the image query interface of the
OBIR (Object-Based Image Retrieval) system. An important contribution
of this work is its ability to allow a user to easily incorporate both
low-level and high-level semantics into an image query. This is
accomplished through the inclusion of the spatial distribution of image
object features, the spatial distribution of the image objects
themselves, and image object class identifiers. We introduce a generic
image model, give our ideas on how to represent the low-level and
high-level semantics of an image object, discuss our notion of image
object similarity, and define four types of image queries supported by
the OBIR system. The detailed architecture of the OBIR query interface,
a test database, and some sample image queries are also presented.},
}