Hierarchical clustering-based navigation of image search results
Haoyang Ding; Jing Liu; Hanqing Lu
2008
会议名称International Conference on Multimedia
会议录名称Proceedings of the 16th International Conference on Multimedia 2008
会议日期October 26-31, 2008
会议地点Vancouver, British Columbia, Canada
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.
关键词Image Search Search Result Clustering User Interface
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/13452
专题模式识别国家重点实验室_图像与视频分析
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],2008.
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