Hierarchical clustering-based navigation of image search results
文献类型：会议论文
| 作者 | Haoyang Ding; Jing Liu ; Hanqing Lu
|
| 出版日期 | 2008 |
| 会议日期 | October 26-31, 2008 |
| 会议地点 | Vancouver, British Columbia, Canada |
| 关键词 | Image Search Search Result Clustering User Interface |
| 英文摘要 | Usually, the image search results contain multiple topics on semantic level and even semantically consistent images have diverse appearances on visual level. How to organize the results into semantically and visually consistent clusters becomes a necessary task to facilitate users' navigation. To attack this, HiCluster, an effective method to organize image search results is designed in this paper, which employs both textual and visual analysis. First, we extract some query-related key phrases to enumerate specific semantics of the given query and cluster them into some semantic clusters using K-lines-based clustering algorithm. Second, the resulting images corresponding to each key phrase are clustered with Bregman Bubble Clustering (BBC) algorithm, which partially groups images in the whole set while discarding some scattered noisy ones. At last, a novel user interface (UI) is designed to provide users with the diverse and helpful information based on the hierarchical clustering structure. Experiments on web images demonstrate the effectiveness and potential of the system. |
| 会议录 | Proceedings of the 16th International Conference on Multimedia 2008
 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/13452]  |
| 专题 | 自动化研究所_模式识别国家重点实验室_图像与视频分析团队 |
| 通讯作者 | Jing Liu |
| 推荐引用方式 GB/T 7714 | Haoyang Ding,Jing Liu,Hanqing Lu. Hierarchical clustering-based navigation of image search results[C]. 见:. Vancouver, British Columbia, Canada. October 26-31, 2008. |
入库方式： OAI收割
来源：自动化研究所
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