Abstract
We propose an efficient remote video study evaluation system which is suitable to the personalized characteristic of the individual student using an information filtering based on user profile. For the setting questions to use the video, we extract a key frame based on the location, size and color information and extract a setting questions interval using gray-level histogram and time windows. Also, for efficient evaluation, we set questions which compose a category based system and a keyword based system. Consequently, students can enhance their study achievements as supplement to the insufficient knowledge and maintain their interest towards the subject.
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Shin, SY., Kang, OH. (2005). A Remote Video Study Evaluation System Using a User Profile. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2005. ICCSA 2005. Lecture Notes in Computer Science, vol 3481. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11424826_30
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DOI: https://doi.org/10.1007/11424826_30
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25861-2
Online ISBN: 978-3-540-32044-9
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