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Communication Dans Un Congrès Année : 2014

Locality sensitive hashing for content based image retrieval: a comparative experimental study

Résumé

This paper presents a comparative experimental study of the multidimensional indexing methods based on the approximation approach. We are particularly interested in the LSH family, which provides efficient index structures and solves the dimensionality curse problem. The goal is to understand the performance gain and the behavior of this family of methods on large-scale databases. E2LSH is compared to the KRA+-Blocks and the sequential scan methods. Two criteria are used in evaluating the E2LSH performances, namely average precision and CPU time using a database of one million image descriptors
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Dates et versions

hal-01285449 , version 1 (09-03-2016)

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Sanaa Chafik, Imane Daoudi, Hamid El Ouardi, Mounim El Yacoubi, Bernadette Dorizzi. Locality sensitive hashing for content based image retrieval: a comparative experimental study. NGNS 2014 : 5th International Conference on Next Generation Networks and Services, May 2014, Casablanca, Morocco. pp.38 - 43, ⟨10.1109/NGNS.2014.6990224⟩. ⟨hal-01285449⟩
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