Julien Ah-Pine, Stéphane Clinchant, Gabriela Csurka
CLEF Proceedings (Advances in Multilingual and Multimodal Information Retrieval),LNCS 2010, Volume 6242, pages 124-132 : Paper available on <a href=> Springer</a>
The aim of this paper is to analyze the technologies de-
signed and used in the context of XRCE's participation in the Photo
Retrieval Task of ImageCLEF 2009 [1]. We evaluate and compare differ-
ent 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 represen-
tations of the topics in the goal of covering distinct related subtopics,
allow us to tackle the Photo Retrieval Task effectively.
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