期刊名称：International Journal of Image Processing (IJIP)
电子版ISSN：1985-2304
出版年度：2014
卷号：8
期号：5
页码：225-244
出版社：Computer Science Journals
摘要：The object image annotation problem is basically a classification problem and there are many different modeling approaches for the solution. These approaches can be classified into two main categories such as generative and discriminative. An ideal classifier should combine these two complementary approaches. In this paper, we present a method achieving this combination by using the discriminative power of the neural networks and the generative nature of Bayesian networks. The evaluation of the proposed method on three typical image's database has shown some success in automatic image annotation.
