Discovering latent semantic factors for emotional picture categorization

Shuo Li*, Yu Jin Zhang, Hua Chun Tan

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

7 引用 (Scopus)

摘要

How to teach computer to classify pictures into different emotional categories automatically as humans? It is a quite interesting and challenging research direction. This paper defines the latent emotional semantic factors and proposes a novel approach for emotional picture categorization. Unlike traditional methods, the latent emotional semantic factor is defined for representing the middle level semantic concept, and it can effectively bridge the "semantic gap". In the experiments made on the International Affective Picture System (IAPS) [1-4], the proposed approach for emotional picture categorization distinctly outperforms the latest method.

源语言英语
主期刊名2010 IEEE International Conference on Image Processing, ICIP 2010 - Proceedings
1065-1068
页数4
DOI
出版状态已出版 - 2010
活动2010 17th IEEE International Conference on Image Processing, ICIP 2010 - Hong Kong, 香港
期限: 26 9月 201029 9月 2010

出版系列

姓名Proceedings - International Conference on Image Processing, ICIP
ISSN(印刷版)1522-4880

会议

会议2010 17th IEEE International Conference on Image Processing, ICIP 2010
国家/地区香港
Hong Kong
时期26/09/1029/09/10

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