DocumentCode :
2776154
Title :
A content-based image retrieval system for outdoor ecology learning: a firefly watching system
Author :
Yu, Gwo-Jong ; Chen, Yuh-Shyan ; Shih, Kuei-Ping
Author_Institution :
Dept. of Comput. & Inf. Sci., Aletheia Univ., Taipei, Taiwan
Volume :
2
fYear :
2004
fDate :
29-31 March 2004
Firstpage :
112
Abstract :
We devote to provide teachers and students with short-range wireless learning environment. The wireless learning platform consists of wireless handheld devices (PDA, notebook, etc.) carried by the guide and learners. A content-based image retrieval system (CBIR) is constructed to provide learner with required information using image recognition and wireless transmission technologies, such that the objective of outdoor ecology learning can be achieved. A firefly database is used as an instance to illustrate the operations of CBIR system. Instead of learning from textbook, a real firefly in natural environment can be observed and learned through digital camera and image recognition system. During the learning activity, the teacher can use this CBIR system to control the learning progress, evaluate the learning effects and provide necessary assistances to students in order to have a flourish learning environment.
Keywords :
cameras; content-based retrieval; distance learning; image recognition; notebook computers; wireless LAN; content-based image retrieval system; digital camera; firefly watching system; image recognition system; mobile learning; outdoor ecology learning; wireless handheld device; wireless learning environment; Computer science; Content based retrieval; Digital cameras; Environmental factors; Handheld computers; Image recognition; Image retrieval; Information retrieval; Personal digital assistants; Principal component analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Information Networking and Applications, 2004. AINA 2004. 18th International Conference on
Print_ISBN :
0-7695-2051-0
Type :
conf
DOI :
10.1109/AINA.2004.1283768
Filename :
1283768
Link To Document :
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