Abstract
This paper introduces a prototype system called COVA that enables remote users to access specific parts of interest by contents from a large lecture database. COVA includes several novel techniques to achieve the content-based lecture retrieval in distance learning: (1) The semistructured XML model; (2) The technique to build structural summaries of XML lecture databases; (3) Indexing methods to speed up the search to find appropriate lecture contents.
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Cha, G.-H.: Bitmap Indexing Method for Complex Similarity Queries with Relevance Feedback. In: Proc. ACM Workshop on Multimedia Database (2003) (to appear)
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© 2003 Springer-Verlag Berlin Heidelberg
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Cha, GH. (2003). COVA: A Web-Based Learning System for Content-Based Lecture Retrieval. In: Meersman, R., Tari, Z. (eds) On The Move to Meaningful Internet Systems 2003: OTM 2003 Workshops. OTM 2003. Lecture Notes in Computer Science, vol 2889. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39962-9_12
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DOI: https://doi.org/10.1007/978-3-540-39962-9_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-20494-7
Online ISBN: 978-3-540-39962-9
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