A remote video study evaluation system using a user profile

  • Authors:
  • Seong-Yoon Shin;Oh-Hyung Kang

  • Affiliations:
  • Department of Computer Science, Kunsan National University, Chonbuk, South Korea;Department of Computer Science, Kunsan National University, Chonbuk, South Korea

  • Venue:
  • ICCSA'05 Proceedings of the 2005 international conference on Computational Science and Its Applications - Volume Part II
  • Year:
  • 2005

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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.