DocumentCode :
2454624
Title :
A knowledge engineering approach for image classification based on probabilistic reasoning systems
Author :
Paek, Seungyup ; Chang, Shih-Fu
Author_Institution :
Dept. of Electr. Eng., Columbia Univ., New York, NY, USA
Volume :
2
fYear :
2000
fDate :
2000
Firstpage :
1133
Abstract :
We present an image classification system based on probabilistic reasoning that was developed to meet two research objectives. The first objective was to exploit interactions between multiple classifiers to improve classification performance. The second objective was to exploit existing descriptions of an image to improve classification performance. A case study of applying this approach for the consumer photograph domain is presented, along with performance evaluation results
Keywords :
image classification; inference mechanisms; consumer photograph domain; image classification; knowledge engineering approach; performance evaluation; probabilistic reasoning systems; Cities and towns; Explosives; Image classification; Image databases; Image retrieval; Information retrieval; Knowledge engineering; Vegetation mapping; Videos; Visual databases;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia and Expo, 2000. ICME 2000. 2000 IEEE International Conference on
Conference_Location :
New York, NY
Print_ISBN :
0-7803-6536-4
Type :
conf
DOI :
10.1109/ICME.2000.871560
Filename :
871560
Link To Document :
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