A Cross-media Retrieval System for Lecture Videos

dc.creatorFujii, Atsushi
dc.creatorItou, Katunobu
dc.creatorAkiba, Tomoyosi
dc.creatorIshikawa, Tetsuya
dc.date2003-09-13
dc.date.accessioned2026-07-07T03:20:19Z
dc.date.available2026-07-07T03:20:19Z
dc.descriptionWe propose a cross-media lecture-on-demand system, in which users can selectively view specific segments of lecture videos by submitting text queries. Users can easily formulate queries by using the textbook associated with a target lecture, even if they cannot come up with effective keywords. Our system extracts the audio track from a target lecture video, generates a transcription by large vocabulary continuous speech recognition, and produces a text index. Experimental results showed that by adapting speech recognition to the topic of the lecture, the recognition accuracy increased and the retrieval accuracy was comparable with that obtained by human transcription.
dc.identifierhttps://arxiv.org/abs/cs/0309021
dc.identifierhttp://arxiv.org/abs/cs/0309021
dc.identifierProceedings of the 8th European Conference on Speech Communication and Technology (Eurospeech 2003), pp.1149-1152, Sep. 2003
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/31785
dc.subjectComputation and Language
dc.subjectI.2.7; H.3.3; H.5.1
dc.titleA Cross-media Retrieval System for Lecture Videos
dc.typetext

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