Effective Image Retrieval for the M-Learning System

  • Eunjung Han
  • Anjin Park
  • Dongwok kyoung
  • HwangKyu Yang
  • Keechul Jung
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4312)


In this paper, we propose augmented learning contents (ALC) with the blended learning on mobile devices. It augments on-line contents by indexing the corresponding off-line contents using traditional pattern recognition method, which results in a minimize of labors for conversion. Among the pattern recognition method marker-based is one of most general approach. However it must reconstruct the off-line contents with pattern markers. To solve both drawbacks that use of the pattern markers and difficulty of the color-based image retrieval by means of a low-resolution PDA camera, we used for a shape-based system. CBIR based on object shapes is used instead of pattern markers to link off-line contents with on-line, and shapes are represented by a differential chain code with estimated new starting points to obtain rotation-invariant representation, which is suited to low computational resources of mobile devices. Consequently, the ALC can provide learner with a fast and accurate multimedia contents (video, audio, text) on static off-line contents using mobile devices without space limitation.


Contents recycling Mobile learning Multimedia education contents Shape-based image retrieval Mobile vision DTW 


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  1. 1.
    Eunjung, H., Keechul, J., Chungjae, I.: E-learning Self-Directed Contents Development for Multimedia. Proceedings of Information Society 21(1), 1019–1022 (2005)Google Scholar
  2. 2.
    ERICSSON, From e-learning to m-learning (2002),
  3. 3.
    Sharples, M., Corlett, D., Westmancott, O.: The Design and Implementation of a Mobile Learning Resource. Personal and Ubiquitous 6(3), 220–234 (2002)CrossRefGoogle Scholar
  4. 4.
  5. 5.
    Billinghurst, M., Karo, H., Poupyrev, I.: The MagicBook: A Transitional AR Interface. Computer Graphics, 745–753 (2001)Google Scholar
  6. 6.
    Chen, Y.S., Kao, T., Sheu, J.: A Mobile Butterfly-Learning System for Supporting Independent Learning. In: IEEE International Workshop on Wireless and Mobile Technologies in Education, pp. 11–18 (2004)Google Scholar
  7. 7.
    Anne, P.M.: Design, Development, and Assessment of Mobile Application: The Case for Problem-Based Learning. IEEE Transactions on Education 49(2), 183–192 (2006)CrossRefGoogle Scholar
  8. 8.
  9. 9.
    Yu, G.J., Chen, Y.S., Shih, K.P.: A Content-based Image Retrieval System for Outdoor Ecology Learning. In: Proceedings of International Conference on Advanced Information Networking and Application, vol. 2, pp. 112–115 (2004)Google Scholar
  10. 10.
    Doermann, D.: The indexing and retrieval of document images: A survey. Computer Vision and Image Understanding 70(3), 287–298 (1998)CrossRefGoogle Scholar
  11. 11.
    Mehrotra, R., Gary, J.E.: Similar-shape retrieval in shape data management. IEEE Computer 28(9), 57–62 (1995)Google Scholar
  12. 12.
    Li, S., Lee, M.C., Adjeroh, D.: Effective Invariant Feature for Shape-based Image Retrieval. Journal of the American Society for Information Science and Technology 56(7), 729–740 (2005)CrossRefGoogle Scholar
  13. 13.
    Sajjanhar, A., Lu, G.: A comparison of techniques for shape retrieval. In: Proceedings ofInternational Conference on Computational Intelligence and Multimedia Applications, pp. 854–859 (1998)Google Scholar
  14. 14.
    Yang, H.C.: Shaped-based Image Retrieval by Spatial Topology Distances. In: Proceedings of the ACM workshops on Multimedia: multimedia information retrieval, pp. 38–41 (2001)Google Scholar
  15. 15.
    Shapiro, L.G., Stockman, G.C.: Computer Vision. Prentice Hall, Upper Saddle River (2001)Google Scholar
  16. 16.
    Sake, H., Chiba, S.: Dynamic Programming Algorithm Optimization for Spoken Word Recognition. IEEE Transactions on Acoustic, Speech, and Signal 26(1), 43–49 (1978)CrossRefGoogle Scholar
  17. 17.
    Veltkamp, R.C., Tanase, M.: Content-based Image Retrieval Systems: A Survey. Technical Report, UU-CS-2000-34 (2000)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Eunjung Han
    • 1
  • Anjin Park
    • 1
  • Dongwok kyoung
    • 1
  • HwangKyu Yang
    • 2
  • Keechul Jung
    • 1
  1. 1.HCI Lab., School of Media, College of Information TechnologySoongsil UniversitySeoulS. Korea
  2. 2.Department of Multimedia EngineeringDongseo UniversityBusanS. Korea

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