Abstract
This paper describes and discusses an approach to extract and exploit enriched Named Entities for Image Photo Retrieval. The enrichment of Named Entities is inspired by the concept of definite description. The approach is evaluated using the imageCLEF-08 testset for the photo retrieval task held at Cross-Language Evaluation Forum in 2008. We are particularly interested in testing and discuss whether and how linguistic techniques such as the one presented here can be of benefit for an ad-hoc photo retrieval task. More specifically, results show an improvement in precision when Named Entities are contained in the text although for an overall improvement a better integration of these techniques in a general approach to photo retrieval is needed.
This work has been supported by the Spanish R+D National Plan, project TIN2007-67407-C03-03, “BRAVO: Búsqueda de Respuestas Avanzada Multimodal y Multilingüe - Recuperación de Información” and by Madrid R+D Regional Plan, MAVIR Project, S-0505/TIC/000267 http://www.mavir.net
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Agerri, R., Granados, R., García Serrano, A. (2011). Enrichment of Named Entities for Image Photo Retrieval. In: Detyniecki, M., García-Serrano, A., Nürnberger, A. (eds) Adaptive Multimedia Retrieval. Understanding Media and Adapting to the User. AMR 2009. Lecture Notes in Computer Science, vol 6535. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-18449-9_9
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DOI: https://doi.org/10.1007/978-3-642-18449-9_9
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