MIRACLE-FI at ImageCLEFphoto 2008: Experiences in merging text-based and content-based retrievals

Granados Muñoz, Rubén and Benavent, Xaro and García Serrano, Ana and Goñi Menoyo, José Miguel (2008). MIRACLE-FI at ImageCLEFphoto 2008: Experiences in merging text-based and content-based retrievals. In: "9th Workshop of the Cross-Language Evaluation Forum, CLEF 2008", 17/09/2008-19/09/2008, Aarhus, Dinamarca. ISBN 2-912335-43-4.

Description

Title: MIRACLE-FI at ImageCLEFphoto 2008: Experiences in merging text-based and content-based retrievals
Author/s:
  • Granados Muñoz, Rubén
  • Benavent, Xaro
  • García Serrano, Ana
  • Goñi Menoyo, José Miguel
Item Type: Presentation at Congress or Conference (Article)
Event Title: 9th Workshop of the Cross-Language Evaluation Forum, CLEF 2008
Event Dates: 17/09/2008-19/09/2008
Event Location: Aarhus, Dinamarca
Title of Book: Working Notes for the CLEF 2008 Workshop
Date: 2008
ISBN: 2-912335-43-4
Subjects:
Freetext Keywords: Information Retrieval, Content-Based Image Retrieval, Merged Results Lists, Indexing
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Matemática Aplicada a las Tecnologías de la Información [hasta 2014]
UPM's Research Group: Grupo de Sistemas Inteligentes
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

This paper describes the participation of the MIRACLE consortium at the ImageCLEF Photographic Retrieval task of ImageCLEF 2008. In this is new participation of the group, our first purpose is to evaluate our own tools for text-based retrieval and for content-based retrieval using different similarity metrics and the aggregation OWA operator to fuse the three topic images. From the MIRACLE last year experience, we implemented a new merging module combining the text-based and the content-based information in three different ways: FILTER-N, ENRICH and TEXT-FILTER. The former approaches try to improve the text-based baseline results using the content-based results lists. The last one was used to select the relevant images to the content-based module. No clustering strategies were analyzed. Finally, 41 runs were submitted: 1 for the text-based baseline, 10 content-based runs, and 30 mixed experiments merging text and content-based results. Results in general can be considered nearly acceptable comparing with the best results of other groups. Obtained results from textbased retrieval are better than content-based. Merging both textual and visual retrieval we improve the text-based baseline when applying the ENRICH merging algorithm although visual results are lower than textual ones. From these results we were going to try to improve merged results by clustering methods applied to this image collection.

More information

Item ID: 4683
DC Identifier: http://oa.upm.es/4683/
OAI Identifier: oai:oa.upm.es:4683
Official URL: http://ims-sites.dei.unipd.it/documents/71612/86371/CLEF2008wn-ImageCLEF-GranadosEt2008.pdf
Deposited by: Memoria Investigacion
Deposited on: 22 Oct 2010 09:55
Last Modified: 20 Apr 2016 13:48
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