The Design and Implementation of a Mobile Learning Resource
Personal and Ubiquitous Computing
Object Recognition from Local Scale-Invariant Features
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Contents recycling using content-based image retrieval on mobile device
CIVR'05 Proceedings of the 4th international conference on Image and Video Retrieval
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Due to popularization of the wireless Internet and mobile devices, the infrastructure of the ubiquitous environment is created and users can get information whatever they want, anytime and anywhere. Therefore, many laboratories study methods for efficiency of information transmission using on-line and off-line contents. In the educational field, many laboratories also study methods which apply on-line contents to off-line contents and make dynamic contents. In this paper, we propose the Mixed Mobile Education system(MME) that improves educational efficiency using on-line and off-line contents on mobile devices. Unlike the previous studies, the proposed system does not use additional makers but recognizes off-line contents as we extract feature points in the input image using the mobile camera to provide the natural environment. We use the SIFT(Scale Invariant Feature Transform) algorithm to extract feature points, which are not affected by noise, color distortion, size and rotation in the input image captured by the low resolution camera. Experimental results show that compared with previous work, the proposed system has some advantages and disadvantages and that the proposed system has good efficiency on various environments.