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2009
ACM

Visual diversification of image search results

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Visual diversification of image search results
Due to the reliance on the textual information associated with an image, image search engines on the Web lack the discriminative power to deliver visually diverse search results. The textual descriptions are key to retrieve relevant results for a given user query, but at the same time provide little information about the rich image content. In this paper we investigate three methods for visual diversification of image search results. The methods deploy lightweight clustering techniques in combination with a dynamic weighting function of the visual features, to best capture the discriminative aspects of the resulting set of images that is retrieved. A representative image is selected from each cluster, which together form a diverse result set. Based on a performance evaluation we find that the outcome of the methods closely resembles human perception of diversity, which was established in an extensive clustering experiment carried out by human assessors. Categories and Subject Descript...
Reinier H. van Leuken, Lluis Garcia Pueyo, Ximena
Added 21 Nov 2009
Updated 21 Nov 2009
Type Conference
Year 2009
Where WWW
Authors Reinier H. van Leuken, Lluis Garcia Pueyo, Ximena Olivares, Roelof van Zwol
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