Abstract
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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Eunjung, H., Keechul, J., Chungjae, I.: E-learning Self-Directed Contents Development for Multimedia. Proceedings of Information Society 21(1), 1019–1022 (2005)
ERICSSON, From e-learning to m-learning (2002), http://learning.ericsson.net/leonardo
Sharples, M., Corlett, D., Westmancott, O.: The Design and Implementation of a Mobile Learning Resource. Personal and Ubiquitous 6(3), 220–234 (2002)
Billinghurst, M., Karo, H., Poupyrev, I.: The MagicBook: A Transitional AR Interface. Computer Graphics, 745–753 (2001)
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)
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)
KTF, http://www.ktf.co.kr
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)
Doermann, D.: The indexing and retrieval of document images: A survey. Computer Vision and Image Understanding 70(3), 287–298 (1998)
Mehrotra, R., Gary, J.E.: Similar-shape retrieval in shape data management. IEEE Computer 28(9), 57–62 (1995)
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)
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)
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)
Shapiro, L.G., Stockman, G.C.: Computer Vision. Prentice Hall, Upper Saddle River (2001)
Sake, H., Chiba, S.: Dynamic Programming Algorithm Optimization for Spoken Word Recognition. IEEE Transactions on Acoustic, Speech, and Signal 26(1), 43–49 (1978)
Veltkamp, R.C., Tanase, M.: Content-based Image Retrieval Systems: A Survey. Technical Report, UU-CS-2000-34 (2000)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Han, E., Park, A., kyoung, D., Yang, H., Jung, K. (2006). Effective Image Retrieval for the M-Learning System. In: Sugimoto, S., Hunter, J., Rauber, A., Morishima, A. (eds) Digital Libraries: Achievements, Challenges and Opportunities. ICADL 2006. Lecture Notes in Computer Science, vol 4312. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11931584_37
Download citation
DOI: https://doi.org/10.1007/11931584_37
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-49375-4
Online ISBN: 978-3-540-49377-8
eBook Packages: Computer ScienceComputer Science (R0)