Image Retrieval Based on An Artificial Emotion Model

摘要：

In the design of multimedia database system, one of the important issues is how to deal with emotion of human beings. An image retrieval based on an artificial emotion model has been proposed in this paper. The objects of the emotion model are adjectives such as romantic or elegant expressed by people who are retrieving images. Factor analysis is applied to construct an orthogonal psychological space based on sense experiments. After that, a radial basis function neural network is used for learning and memorizing the users emotion. Then each image is automatically evaluated and annotated with adjective words in the orthogonal psychological space. Thus an emotional image retrieval system is obtained. Last an interesting experimental result is presented.

作者: Wang Shangfei Chen Enhong Wang Ke Wang Xufa

作者单位: Artificial Intelligence Lab.Department of Computer Science and Technology of USTC Hefei, Anhui, P. R. China, 230027

会议类型: 国际会议

会议名称: 8th International Conference on Neural Information Processing(ICONIP 2001)(第八届国际神经信息处理大会)

会议地点: 上海

会议语种:英文

页码: 763-767

在线出版日期: 2001-11-14（万方平台首次上网日期，不代表论文的发表时间）