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An open source platform for Indexing and retrieval of multimedia information from a digital library of graduate thesis

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Acosta-Díaz, R., Meléndez Guillén, H., García Ruiz, M.Á., Gallardo, A.R., Gutiérrez Pulido, J.R. & Damián Reyes, P. (2006). An open source platform for Indexing and retrieval of multimedia information from a digital library of graduate thesis. In T. Reeves & S. Yamashita (Eds.), Proceedings of World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education 2006 (pp. 1822-1829). Chesapeake, VA: AACE.
Retrieved from http://www.editlib.org/p/23979.

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Conference Information

ELEARN

World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education (ELEARN) 2006
Honolulu, Hawaii, USA
October 2006
ISBN 1-880094-60-6
  Thomas Reeves & Shirley Yamashita
AACE

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Authors

Ricardo Acosta-Díaz, UNIVERSIDAD DE COLIMA, Mexico; Haydeé Meléndez Guillén, Universidad Autónoma de Baja California, Mexico; Miguel Ángel García Ruiz, Armando Román Gallardo, Jorge Rafel Gutiérrez Pulido, Pedro Damián Reyes, Universidad de Colima, Mexico

Abstract

In the MIND (Mixed-media Networked Digital Library) project, we have developed an environment to explore efficient and effective mechanisms for indexing and retrieving Mixed-media information from a digital library of thesis. We have stored and indexed not only the text from the dissertation, but the images contained in the text, the slides used for the thesis defense and the audio and video of the presentation of the thesis itself. Full-text indexing of the whole document and the text in the slides, and event-based indexing of the presentation and the video will be used to create a rich Mixed-media library with support for queries that incorporate different media and navigation between these media. For instance, looking at the thesis defense and asking for more detail and being directed to the appropriate place in the document or in the video. In this paper we focus strategies for identifying the segments in the thesis document that correspond to each slide in the presentation.

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