Journal Articles Signal, Image and Video Processing Year : 2017

Improving retrieval framework using information gain models

Abstract

Content-based image retrieval systems are meant to retrieve the most similar images of a collection to a query image. One of the most well-known models widely applied for this task is the bag of visual words (BoVW) model. In this paper, we introduce a study of different information gain models used for the construction of a visual vocabulary. In the proposed framework, information gain models are used as a discriminative information to index image features and select the ones that have the highest information gain values. We introduce some extensions to further improve the performance of the proposed framework: mixing different vocabularies and extending the BoVW to bag of visual phrases. Exhaustive experiments show the interest of information gain models on our retrieval framework.

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hal-01515952 , version 1 (29-09-2018)

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Huu Ton Le, Thierry Urruty, Syntyche Gbehounou, François Lecellier, Jean Martinet, et al.. Improving retrieval framework using information gain models. Signal, Image and Video Processing, 2017, 11 (2), pp.309-316. ⟨10.1007/s11760-016-0938-x⟩. ⟨hal-01515952⟩
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