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Fast approximate kernel-based similarity search for image retrieval task

11 years 8 months ago
Fast approximate kernel-based similarity search for image retrieval task
In content based image retrieval, the success of any distance-based indexing scheme depends critically on the quality of the chosen distance metric. We propose in this paper a kernel-based similarity approach working on sets of vectors to represent images. We introduce a method for fast approximate similarity search in large image databases with our kernel-based similarity metric. We evaluate our algorithm on image retrieval task and show it to be accurate and faster than linear scanning.
David Gorisse, Matthieu Cord, Frédér
Added 30 May 2010
Updated 30 May 2010
Type Conference
Year 2008
Where ICPR
Authors David Gorisse, Matthieu Cord, Frédéric Precioso, Sylvie Philipp-Foliguet
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