PivotBrowser: A Tag-Space Image Searching Prototype

摘要：

We propose a novel iterative searching and refining prototype for tagged images. This prototype, named Pivot-Browser, captures semantically similar tag sets in a structure called pivot. By constructing a pivot for a textual query, PivotBrowser first selects candidate images possibly relevant to the query. The tags contained in these candidate images are then selected in terms of their tag relevances to the pivot. The shortlisted tags are clustered and one of the tag clusters is used to select the results from the candidate images. Ranking of the images in each partition is based on their relevance to the tag cluster. With the guidance of the tag clusters presented, a user is able to perform searching and iterative query refinement.

关键词： Tag Inconsistency Ambiguity Relevance

作者: Xiaoyan Li Lidan Shou Gang Chen Xiaolong Zhang Tianlei Hu Jinxiang Dong

作者单位: College of Computer Science, Zhejiang University Hangzhou, P.R.China 310027

会议类型: 国际会议

会议名称: 第十七届国际万维网大会(the 17th International World Wide Web Conference)(WWW08)

会议地点: 北京

会议语种:英文

在线出版日期: 2008-04-21（万方平台首次上网日期，不代表论文的发表时间）