PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Learning to Retrieve Images from Text Queries with a Discriminative Model
David Grangier, Florent Monay and Samy Bengio
In: International Workshop on Adaptive Multimedia Retrieval 2006, Geneva, Switzerland(2006).

Abstract

This work presents a discriminative model for the retrieval of pictures from text queries. The core idea of this approach is to minimize a loss directly related to the retrieval performance of the model. For that purpose, we rely on a ranking loss which has recently been successfully applied to text retrieval problems. The experiments performed over the Corel dataset show that our approach compares favorably with generative models that constitute the state-of-the-art (e.g. our model reaches 21.6\% mean average precision with Blob and SIFT features, compared to 16.7\% for PLSA, the best alternative).

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EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Machine Vision
Information Retrieval & Textual Information Access
ID Code:2486
Deposited By:David Grangier
Deposited On:22 November 2006