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A Cross-media Retrieval System for Lecture Videos
[article]
2003
arXiv
pre-print
We 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
arXiv:cs/0309021v1
fatcat:irac5lgqvrfgnfntpcblho33qy