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Proceedings Paper

AVIR: a spoken document retrieval system in e-learning environment
Author(s): Isabella Gagliardi; Marco Padula; Patrizia Pagliarulo; Bruno Aliprandi
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Paper Abstract

In this paper we present AVIR (Audio & Video Information Retrieval), a project of CNR (Italian National Research Council) - ITC to develop a tools to support an information system for distance e-learning. AVIR has been designed to store, index, and classify audio and video lessons to make them available to students and other interested users. The core of AVIR is a SDR (Spoken Document Retrieval) system which automatically transcribes the spoken documents into texts and indexes them through dictionaries appropriately created. During the fruition on-line, the user can formulate his queries searching documents by date, professor, title of the lesson or selecting one or more specific words. The results are presented to the users: in case of video lessons the preview of the first frames is shown. Moreover, slides of the lessons and associate papers can be retrieved.

Paper Details

Date Published: 16 January 2006
PDF: 12 pages
Proc. SPIE 6061, Internet Imaging VII, 60610S (16 January 2006); doi: 10.1117/12.648385
Show Author Affiliations
Isabella Gagliardi, CNR, ITC, Unità Staccata di Milano (Italy)
Marco Padula, CNR, ITC, Unità Staccata di Milano (Italy)
Patrizia Pagliarulo, CNR, ITC, Unità Staccata di Milano (Italy)
Bruno Aliprandi, CNR, ITC, Unità Staccata di Milano (Italy)

Published in SPIE Proceedings Vol. 6061:
Internet Imaging VII
Simone Santini; Raimondo Schettini; Theo Gevers, Editor(s)

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