Comparison of Several Combinations of Multimodal and Diversity Seeking Methods for Multimedia Retrieval

Julien Ah-Pine , Stephane Clinchant (1) , Gabriela Csurka (1)

1 Xerox Research Centre Europe [Meylan]

The aim of this paper is to analyze the technologies designed and used in the context of XRCE's participation in the Photo Retrieval Task of ImageCLEF 2009 [1]. We evaluate and compare different mono and multimedia retrieval methods and two distinct diversity-seeking strategies as well. Our analysis allows us to better understand which combinations of basic approaches are the best ones. It appears that taking advantage of the multimodal nature of the data by means of our cross-modal similarities technique and leveraging different text representations of the topics in the goal of covering distinct related subtopics, allow us to tackle the Photo Retrieval Task effectively.

Domaines: Intelligence artificielle [cs.AI]; Recherche d'information [cs.IR]

Julien Ah-Pine, Stephane Clinchant, Gabriela Csurka. Comparison of Several Combinations of Multimodal and Diversity Seeking Methods for Multimedia Retrieval. Multilingual Information Access Evaluation II. Multimedia Experiments, 6242, Springer, pp.124-132, 2010, Lecture Notes in Computer Science, 978-3-642-15751-6. ⟨10.1007/978-3-642-15751-6_13⟩. ⟨hal-01504499⟩