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OLIVE: Speech-Based Video Retrieval

Franciska de Jong; Klaus Netter
In: Djoerd Hiemstra; Franciska de Jong; Klaus Netter (Hrsg.). Proceedings of the 14th Twente Workshop on Language Technology (TWLT 14). Language Technology in Multimedia Information Retrieval, December 7-8. Twente Workshop on Language Technology (TWLT), University of Twente, Enschede, The Netherlands, Pages 187-188, 1998.


This paper describes the Olive project which aims to support automated indexing of video material by use of human language technologies. Olive is making use of speech recognition to automatically derive transcriptions of the sound tracks, generating time-coded linguistic elements which serve as the basis for text-based retrieval functionality. The retrieval demonstrator builds on and extends the architecture from the Pop-Eye project, a system applying human language technology on subtitles for the disclosure of video fragments.

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