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

被引：0
|
作者：
Gagliardi, Isabella [1 ]
Padula, Marco [1 ]
Pagliarulo, Patrizia [1 ]
Aliprandi, Bruno [1 ]
机构：
[1] CNR, ITC, Unita Staccata Milano, Via Bassini 15, I-20133 Milan, Italy
来源：
INTERNET IMAGING VII | 2006年 / 6061卷
关键词：
D O I：
10.1117/12.648385
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
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页数：12
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