Grouping WWW Image Search Results by Novel Inhomogeneous Clustering Method

Gu Xu, Missouri University of Science and Technology
Zhiwei Li
Mingjing Li
Wei-Ying Ma
Hong-Jiang Zhang

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In this paper, a novel inhomogeneous clustering method is proposed for grouping web images. It is used to re-organize the search result of web image search engines into a hierarchical structure so that the users can conveniently browse the search result. This method takes into account various features associated with web images, and treats them in different ways. For the surrounding text extracted from the containing web pages, co-clustering approach is adopted; for low-level features of the image content and other features, one-way clustering approach is adopted. The clustering results of different approaches are combined together to produce the final image groups. Experimental results demonstrate the effectiveness of the proposed method.