Automated Hypermedia Authoring for Individualized Learning
نویسندگان
چکیده
This paper presents an automated system for authoring of hypermedia lecture recordings. We revised our previous work on lectures indexation. Our original method of lectures indexation needed a human interaction and was not feasible for large amount of lectures. We developed a system which utilizes Optical Character Recognition (OCR) to automatically extract the keywords from the lecture slides which are captured together with the lecture video. The keywords together with timestamps of the slides are than used to search through the contents of the lecture and to navigate to its particular sequences.
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