Effective image retrieval for the M-learning system

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. © Springer-Verlag Berlin Heidelberg 2006.