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Conference Papers Year : 2009

On the burstiness of visual elements

Abstract

Burstiness, a phenomenon initially observed in text retrieval, is the property that a given visual element appears more times in an image than a statistically independent model would predict. In the context of image search, burstiness corrupts the visual similarity measure, i.e., the scores used to rank the images. In this paper, we propose a strategy to handle visual bursts for bag-of-features based image search systems. Experimental results on three reference datasets show that our method significantly and consistently outperforms the state of the art.
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Dates and versions

inria-00394211 , version 1 (23-02-2011)
inria-00394211 , version 2 (06-06-2011)
inria-00394211 , version 3 (07-06-2011)

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Hervé Jégou, Matthijs Douze, Cordelia Schmid. On the burstiness of visual elements. CVPR 2009 - IEEE Conference on Computer Vision and Pattern Recognition, Jun 2009, Miami, United States. pp.1169-1176, ⟨10.1109/CVPRW.2009.5206609⟩. ⟨inria-00394211v3⟩
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