1999
@inproceedings{OWA1999,
vgclass = {refpap},
vgproject = {cbir},
author = {Ozer, Burak and Wolf, Wayne and Akansu, Ali N.},
title = {A Graph Based Object Description for Information Retrieval
in Digital Image and Video Libraries},
booktitle = {IEEE Workshop on Content-based Access of Image and Video
Libraries (CBAIVL'99)},
address = {Fort Collins, Colorado, USA},
pages = {79--83},
month = {June~22},
year = {1999},
url = {http://www.njcmr.org/\~{}ibo8175/ozer.ps},
abstract = {The search algorithms for the objects of interest related
to shape similarity in a video or image library were implemented by
various research groups. This work focuses on the search of a sample
object (car) in video sequences and images related to the shape
similarity. We also investigate a new description for cars, using
relational graphs. The goal of this study is to investigate the shape
matching method based on relational graph of objects with respect to
its accuracy, efficiency and scalability. The aim is to annotate the
images where the object of interest (OOI) is present. Then the query by
text can be performed to extract images of OOI from a preprocessed
database. The graph based description of the object with its meaningful
parts provides an efficient way to obtain high level semantics from low
level features. The hierarchical segmentation increases the accuracy of
the detection of the object in the transformed and occluded images.},
}