The full text of this article
Computational approaches to support image-based language learning within mobile environment
by Oleg Starostenko, Vicente Alarcon-Aquino, Humberto Lobato-Morales, Oleg Sergiyenko
International Journal of Mobile Learning and Organisation (IJMLO), Vol. 4, No. 2, 2010
Abstract: The exploration of emerging data exchange technologies and design of image-based language learning (IBLL) applications are presented in this paper. For integrating, the mobile devices to learning process the generic interfaces have been created for portable personal spaces (PoPS) providing mobile access to multimedia documents based on XML technologies. The IBLL implies image processing, recognition and retrieval, thereby some algorithms have been proposed for learning assistant applications used by mobile devices. Furthermore, for multimedia data exchange in wireless environment the compression of visual information based on wavelet transforms and several thresholding techniques are supported. The proposed approaches can suggest ways of studying and organising resources which provide long-term guidance on developing skills and support experiential learning. They have been tested for selecting the best ones with the highest processing speed and recognition grade for interpretation of Japanese kanji or Mayan glyphs on mobile devices with limited resources and restricted networking capabilities.
Online publication date: Fri, 09-Apr-2010
is only available to individual subscribers or to users at subscribing institutions.
Go to Inderscience Online Journals to access the Full Text of this article.
Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.
Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Mobile Learning and Organisation (IJMLO):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable).
See our Orders page to subscribe.
If you still need assistance, please email firstname.lastname@example.org