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IGroup: A Web Image Search Engine with Semantic Clustering of Search Results (2008)

Abstract
In this demo, we present IGroup, a Web image search engine that organizes the search results into semantic clusters. Different from all existing Web image search results clustering algorithms that only cluster the top few images using visual or textual features, IGroup first identifies several query-related semantic clusters based on a key phrases extraction algorithm originally proposed for clustering general Web search results. Then, all the resulting images are separated and assigned to corresponding clusters. To make the best use of the clustering results, a new user interface is proposed. Please go to

Publication details
Download http://citeseerx.ist.psu.edu/viewdoc/summary?doi=?doi=10.1.1.117.4407
Source http://research.microsoft.com/users/leizhang/paper/acmmm06-igroup-demo.pdf
Contributors CiteSeerX
Repository CiteSeerX - Scientific Literature Digital Library and Search Engine (United States)
Keywords General Terms Algorithms, Design, Experimentation. Keywords Web image search
Type text
Language English
Relation 10.1.1.1.2851