Knowledge Commons of Institute of Automation,CAS
An adaptive graph model for automatic image annotation | |
Jing Liu; Mingjing Li; Wei-Ying Ma; Qingshan Liu; Hanqing Lu | |
2006 | |
会议名称 | ACM SIGMM International Workshop on Multimedia Information Retrieval |
会议录名称 | Proceedings of the 8th ACM SIGMM International Workshop on Multimedia Information Retrieval |
会议日期 | October 26-27, 2006 |
会议地点 | Santa Barbara, California, USA |
摘要 | Automatic keyword annotation is a promising solution to enable more effective image search by using keywords. In this paper, we propose a novel automatic image annotation method based on manifold ranking learning, in which the visual and textual information are well integrated. Due to complex and unbalanced data distribution and limited prior information in practice, we design two new schemes to make manifold ranking efficient for image annotation. Firstly, we design a new scheme named the Nearest Spanning Chain (NSC) to generate an adaptive similarity graph, which is robust across data distribution and easy to implement. Secondly, the word-to-word correlations obtained from WordNet and the pairwise co-occurrence are taken into consideration to expand the annotations and prune irrelevant annotations for each image. Experiments conducted on standard Corel dataset and web image dataset demonstrate the effectiveness and efficiency of the proposed method for image annotation. |
关键词 | Image Annotation Image Retrieval Manifold Ranking |
收录类别 | EI |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/11065 |
专题 | 紫东太初大模型研究中心_图像与视频分析 |
通讯作者 | Jing Liu |
推荐引用方式 GB/T 7714 | Jing Liu,Mingjing Li,Wei-Ying Ma,et al. An adaptive graph model for automatic image annotation[C],2006. |
条目包含的文件 | 条目无相关文件。 |
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