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Hierarchical clustering of WWW image search results using visual, textual and link information
2004
Proceedings of the 12th annual ACM international conference on Multimedia - MULTIMEDIA '04
We consider the problem of clustering Web image search results. Generally, the image search results returned by an image search engine contain multiple topics. Organizing the results into different semantic clusters facilitates users' browsing. In this paper, we propose a hierarchical clustering method using visual, textual and link analysis. By using a vision-based page segmentation algorithm, a web page is partitioned into blocks, and the textual and link information of an image can be
doi:10.1145/1027527.1027747
dblp:conf/mm/CaiHLMW04
fatcat:kj5ssskrgbdqtaltxt4gby6uzu