Content-based affective image classification and retrieval using support vector machines

被引：0
|
作者：
Wu, QF [1 ]
Zhou, CL [1 ]
Wang, CN [1 ]
机构：
[1] Xiamen Univ, Inst Artificial Intelligence, Dept Comp Sci, Xiamen 361005, Peoples R China
来源：
AFFECTIVE COMPUTING AND INTELLIGENT INTERACTION, PROCEEDINGS | 2005年 / 3784卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper a new method to classify and retrieve affective images is proposed. First users express the affective semantics of the images with adjective words; process the data got by Semantic Differential method to obtain main factors of affection and establish affective space; extract low-level visual features of image to construct visual feature space; calculate the correlation between affective space and visual feature space with SVMs. The prototype system that embodies trained SVMs has been implemented. The system can classify the images automatically and support the affective image retrieval. The experimental results prove the effectiveness of this method.
引用
收藏
页码：239 / 247
页数：9
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