1998
@inproceedings{WYK1998,
vgclass = {refpap},
vgproject = {cbir},
author = {Xia Wan and Zijun Yang and Kuo, C.-C. Jay},
title = {Efficient interactive image retrieval with multiple seed
images},
editor = {C.-C. Jay Kuo and Shih-Fu Chang and Sethuraman
Panchanathan},
booktitle = {Multimedia Storage and Archiving Systems III (VV02)},
address = {Boston, Massachusetts, USA},
volume = {3527},
series = {SPIE Proceedings},
pages = {13--24},
month = {November},
year = {1998},
note = {(SPIE Symposium on Voice, Video and Data Communications)},
abstract = {An interactive query system based on multiple seed images
is proposed in this work. With this proposed system, the query can be
refined so that the meaning of similarity becomes clear along the query
process. A particular way to achieve interactive query is implemented,
i.e. adaptive filtering with multiple low-level indexing features based
on user's feedback. The proposed query system consists of the following
building blocks. First, browsing, image sketching and feature editing
are employed for query formation input. The combination of the three
methods provides high flexibility for users to get desired query
images. In the system, images can also be selected from the candidate
image set. By using a query set composed of multiple seed images
instead of a single image, we can improve query performance with more
accurate similarity information. Two key procedures, initial guess and
further refinement, are utilized to achieve high efficient query. At
the initial stage, we try to expand the candidate image set to include
as many features as possible. In the refinement process, users are able
to initiate a more complex filtering strategy by using the feedback.
The relative weighting of different features is further decided.
Extensive examples are used to illustrate the proposed interactive
query process and the corresponding retrieval performance.},
}