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Graph theoretical framework for simultaneously integrating visual and textual features for efficient web image clustering
2008
Proceeding of the 17th international conference on World Wide Web - WWW '08
With the explosive growth of Web and the recent development in digital media technology, the number of images on the Web has grown tremendously. Consequently, Web image clustering has emerged as an important application. Some of the initial efforts along this direction revolved around clustering Web images based on the visual features of images or textual features by making use of the text surrounding the images. However, not much work has been done in using multimodal information for
doi:10.1145/1367497.1367541
dblp:conf/www/RegeDH08
fatcat:to37qv553rfyrdvmsqfczbpnym