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
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Kripke, S.: Naming and Necessity. Harvard University Press, Cambridge (1980)
Russell, B.: On denoting. Mind 14, 479–493 (1905)
Granados, R., Benavent, X., Agerri, R., García-Serrano, A., Goñi, J.M., Gomar, J., de Ves, E., Domingo, J., Ayala, G.: MIRACLE-FI at ImageCLEFphoto 2009. In: CLEF Working Notes 2009 (2009)
Lestari Paramita, M., Sanderson, M., Clough, P.: Diversity in photo retrieval: Overview of the imageCLEFPhoto task 2009. In: Peters, C., Caputo, B., Gonzalo, J., Jones, G.J.F., Kalpathy-Cramer, J., Müller, H., Tsikrika, T. (eds.) CLEF 2009. LNCS, vol. 6242, pp. 45–59. Springer, Heidelberg (2010)
Clark, S., Curran, J.: Language Independent NER using a Maximum Entropy Tagger. In: Proceedings of the Seventh Conference on Natural Language Learning (CoNLL 2003), Edmonton, Canada, pp. 164–167 (2003)
Clark, S., Curran, J.: Wide-coverage efficient statistical parsing with CCG and Log-Linear Models. Computational Linguistics 33 (4), 493–553 (2007)
Granados, R., García-Serrano, A., Goñi, J.: La herramienta IDRA (Indexing and Retrieving Automatically). In: Congreso de la Sociedad Española para el Procesamiento del Lenguaje Natural, SEPLN 2009 (2009)
Finkel, J.R., Manning, C.D.: Joint parsing and named entity recognition. In: Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Boulder, Colorado, pp. 326–334. Association for Computational Linguistics (2009)
Salton, G.: Introduction to Modern Information Retrieval. McGraw-Hill, New York (1983)
Granados, R., Benavent, X., García-Serrano, A., Goñi, J.M.: MIRACLE-FI at ImageCLEFphoto 2008: Experiences in merging text-based and content-based retrievals. In: Proceedings of CLEF 2008 (2008), http://www.clef-campaign.org
Arni, T., Clough, P., Sanderson, M., Grubinger, M.: Overview of the imageCLEFphoto 2008 photographic retrieval task. In: Peters, C., Deselaers, T., Ferro, N., Gonzalo, J., Jones, G.J.F., Kurimo, M., Mandl, T., Peñas, A., Petras, V. (eds.) CLEF 2008. LNCS, vol. 5706, pp. 500–511. Springer, Heidelberg (2009)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-3-642-18449-9_9
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-18448-2
Online ISBN: 978-3-642-18449-9
eBook Packages: Computer ScienceComputer Science (R0)