AVIR: a spoken document retrieval system in e-learning environment

Isabella Gagliardi; Marco Padula; Patrizia Pagliarulo; Bruno Aliprandi

doi:10.1117/12.648385

16 January 2006 AVIR: a spoken document retrieval system in e-learning environment

Isabella Gagliardi, Marco Padula, Patrizia Pagliarulo, Bruno Aliprandi

Proceedings Volume 6061, Internet Imaging VII; 60610S (2006) https://doi.org/10.1117/12.648385
Event: Electronic Imaging 2006, 2006, San Jose, California, United States

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.

Citation Download Citation

Isabella Gagliardi, Marco Padula, Patrizia Pagliarulo, and Bruno Aliprandi "AVIR: a spoken document retrieval system in e-learning environment", Proc. SPIE 6061, Internet Imaging VII, 60610S (16 January 2006); https://doi.org/10.1117/12.648385

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