Experiments in constructing belief networks for image classification systems

Author

Seungyup Pack ; Chang, Shih-Fu

Author_Institution

Dept. of Electr. Eng., Columbia Univ., New York, NY, USA

Volume

3

fYear

2000

fDate

2000

Firstpage

46

Abstract

We present procedures and experimental results in constructing belief networks for image classification systems based on probabilistic reasoning. In particular, we compare the performance of systems based on manually constructed and automatically constructed belief networks. The systems exploit existing image descriptions and also exploit interactions between multiple classifiers to improve classification performance. Performance evaluation results for the consumer photography domain are presented

Keywords

belief networks; image classification; inference mechanisms; uncertainty handling; automatically constructed belief networks; classification performance; consumer photography; image classification systems; image descriptions; manually constructed constructed belief networks; multiple classifiers; performance; probabilistic reasoning; Cities and towns; Image classification; Image retrieval; Intelligent networks; Layout; Microcomputers; Random variables; Speech; Vegetation mapping; Videos;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 2000. Proceedings. 2000 International Conference on

Conference_Location

Vancouver, BC

ISSN

1522-4880

Print_ISBN

0-7803-6297-7

Type

conf

DOI

10.1109/ICIP.2000.899283

Filename

899283