DocumentCode :
2628077
Title :
Mobile Education through Camera-Equipped Mobile Phones
Author :
Eunjung Han ; Hwangkyu Yang ; Keechul Jung
Author_Institution :
Soongsil Univ., Seoul
fYear :
2007
fDate :
21-23 Nov. 2007
Firstpage :
1656
Lastpage :
1661
Abstract :
This paper proposes augmented learning contents (ALC) that can supply learners with dynamic interactions using multimedia information by recognizing real images of off-line contents using mobile devices. The techniques employed allow children to rapidly gain access to a large repository of multimedia information through the use of a camera- equipped mobile phone. Especially, there are many usages of external marks (EM) on the off-line contents. To tackle this problem, a few researches use content-based image retrieval (CBIR) based on object colors to recognize real images with a simple computation. However, this has problems of low recognition rates and slows processing on mobile devices with low-resolution camera. There are three issues should be considered in this research field: (1) low recognition rates, (2) fast processing, and (3) rotation-size invariant. To solve drawbacks that use of the EM and difficulty of the color-based image retrieval (CoBIR) by means of a low-resolution camera-equipped mobile phone, we used for shape-based image retrieval (SBIR) system. The ALC can provide learners with quick and accurate on-line contents on off-line using mobile devices without limitations of space. Our aim was to establish whether or not this user interaction technique could be harnessed for education based applications targeted at young children.
Keywords :
computer aided instruction; image resolution; image retrieval; mobile computing; mobile handsets; augmented learning contents; camera-equipped mobile phones; color-based image retrieval; content-based image retrieval; image recognition; mobile education; multimedia information; shape-based image retrieval; Automatic logic units; Computer science education; Content based retrieval; Electronic learning; Image recognition; Image retrieval; Information technology; Mobile computing; Mobile handsets; Space technology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Convergence Information Technology, 2007. International Conference on
Conference_Location :
Gyeongju
Print_ISBN :
0-7695-3038-9
Type :
conf
DOI :
10.1109/ICCIT.2007.388
Filename :
4420491
Link To Document :
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