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Author Li, Xiaoyan ♦ Shou, Lidan ♦ Chen, Gang ♦ Zhang, Xiaolong ♦ Hu, Tianlei ♦ Dong, Jinxiang
Source CiteSeerX
Content type Text
File Format PDF
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Tag-space Image ♦ Tag Cluster ♦ Candidate Image ♦ Textual Query ♦ Iterative Query Refinement ♦ Shortlisted Tag ♦ Tagged Image ♦ Tag Relevance ♦ Refining Prototype ♦ Similar Tag Set ♦ Novel Iterative Searching
Abstract 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.
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study