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Video Evaluation System Using Scene Change Detection and User Profile

장면전환검출과 사용자 프로파일을 이용한 비디오 학습 평가 시스템

  • 신성윤 (군산대학교 컴퓨터정보과학과)
  • Published : 2004.02.01

Abstract

This paper proposes an efficient remote video evaluation system that is matched well with personalized characteristics of students using information filtering based on user profile. For making a question in forms of video, a key frame extraction method based on coordinate, size and color information is proposed. And Question-mating intervals are extracted using gray-level histogram difference and time window. Also, question-making method that combined category-based system with keyword-based system is used for efficient evaluation. Therefore, students can enhance their study achievement through both supplementing their inferior area and preserving their interest area.

본 논문에서는 사용자 프로파일을 기반으로 한 정보 필터링을 사용하여 학생 개인의 특성에 맞는 효율적인 원격 비디오 학습 평가 시스템을 제안한다. 비디오를 이용한 문제 출제를 위하여 위치, 크기, 그리고 컬러 정보를 기반으로 키 프레임을 추출하고 그레이 레벨 히스토그램 차이와 시간 윈도우를 이용하여 문제 출제 추간을 추출한다. 또한 효율적인 평가를 위하여 카테고리 기반 시스템과 키워드 기반 시스템을 합성하여 문제를 출제하도록 한다. 따라서 학생들은 부족한 영역을 보충하고 관심 있는 영역을 유지하면서 학업 성취도를 향상시킬 수 있다.

Keywords

References

  1. D. Lefkovitz, 'File Structure for Online Systems,' Rochelle Park : Hayden, 1969
  2. Feynman, C., 'Nearest neighbor and maximum likelihood methods for social information filtering,' International Document, MIT Media Lab, Fall, 1993
  3. Sheth, B. D., 'A Learning Approach to Personalized Information Filtering,' SM Thesis, Department of EEVS, MID, Feb., 1994
  4. T. W. Malone, et al., 'Intelligent Information Sharing System,' Communications of the ACM, Vol.30, No.5, pp. 390-402, 1987 https://doi.org/10.1145/22899.22903
  5. Salton, G. and McGill, M. J. 'Introduction to Modem Information Retrieval,' McGraw-Hill, 1993
  6. Thomas Kahabka, Mari Korkea-aho and GUnther Specht, 'GRAS : An Adaptive Personalization Scheme for Hypermedia Databases,' Proc. of the 2nd Conf. on Hypertext-Information Retrieval-Multimedia (HIM '97), pp.279-292, 1997
  7. Goldberg, D., Nicholas, D., Oki, B. and Terry, D., 'Using Collaborative Filtering to Weave an Information Tapestry,' CACM, Vol.35, No.12, pp.61-70, Dec., 1992 https://doi.org/10.1145/138859.138867
  8. Tak Y. Yan and Hector Garcia-Molina, 'SIFT-A tool for wide-area information dissemination,' In Proc. of the 1995 USENIX Technical Conf., pp.177-186, 1995
  9. Paul Resnick, Neophytes Iacovou, Mitesh Suchak, Peter Bergstrom and John Riedl, 'GroupLens : An open architecture for collaborative filtering of netnews,' In Proc. of ACM 1994 Conf. on Computer Supported Cooperative Work, pp.175 186. 1994 https://doi.org/10.1145/192844.192905
  10. Lang, K., 'NewsWeeder: An Adaptive Multi User Text Filter,' Research Summary, Aug., 1994
  11. M. Altinel and M. J. Franklin, 'Efficient Filtering of XML documents for Selective Dissemination of Information,' Proc. VLDB Conf., Sep., 2000
  12. M. Chemiack, M. J. Franklin and S. Zdonik, 'Expressing User Profiles for Data Recharging,' IEEE Personal Communications, pp.6-13, 2001 https://doi.org/10.1109/98.944001
  13. I. Schwab and A. Kobsa, 'Adaptivity through Unobstrusive Learning,' KI 3(2003), Special Issue on Adaptivity and User Modeling, pp.5-9, 2002
  14. Lee E. B., Kwak D. H. and Ryu K. R., 'Understanding of Computer,' KNOU press center, 1999