A Knowledge Engineering Approach for Image Classification based on Probabilistic Reasoning Systems

We present a knowledge engineering approach for image classification that is based on probabilistic reasoning systems. The approach gives the knowledge engineer a systematic way to integrate multiple probabilistic classifiers. A case study of applying this approach to the domain of consumer photographs is presented.

• Type: Conference
• Year: 2000
• Where: ICMCS
• Authors: Seungyup Paek, Shih-Fu Chang
• Keywords: ICMCS 2000, Knowledge Engineering Approach, Multimedia, Multiple Probabilistic Classifiers, Probabilistic Reasoning Systems