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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)

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.

Keywords

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

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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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