| Content-based affective image classification and retrieval using support vector machines | |
| Wu, Q. F. ; Zhou, C. L. ; Wang, C. N. ; Wu QF(吴清锋) | |
| 2005 | |
| 关键词 | RECOGNITION |
| 英文摘要 | 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. |
| 语种 | 英语 |
| 内容类型 | 期刊论文 |
| 源URL | [http://dspace.xmu.edu.cn/handle/2288/64894]  |
| 专题 | 软件学院－已发表论文 |
| 推荐引用方式 GB/T 7714 | Wu, Q. F.,Zhou, C. L.,Wang, C. N.,et al. Content-based affective image classification and retrieval using support vector machines[J],2005. |
| APA | Wu, Q. F.,Zhou, C. L.,Wang, C. N.,&吴清锋.(2005).Content-based affective image classification and retrieval using support vector machines.. |
| MLA | Wu, Q. F.,et al."Content-based affective image classification and retrieval using support vector machines".(2005). |
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