Effective image retrieval for the m-learning system

  • Authors:

  • Eunjung Han;Anjin Park;Dongwok kyoung;HwangKyu Yang;Keechul Jung

  • Affiliations:

  • HCI Lab., School of Media, College of Information Technology, Soongsil University, Seoul, S. Korea;HCI Lab., School of Media, College of Information Technology, Soongsil University, Seoul, S. Korea;HCI Lab., School of Media, College of Information Technology, Soongsil University, Seoul, S. Korea;Department of Multimedia Engineering, Dongseo University, Busan, S. Korea;HCI Lab., School of Media, College of Information Technology, Soongsil University, Seoul, S. Korea

  • Venue:
  • ICADL'06 Proceedings of the 9th international conference on Asian Digital Libraries: achievements, Challenges and Opportunities
  • Year:
  • 2006

Quantified Score

Hi-index 0.00

Visualization

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.