Multimedia adaptation for the multimedia messaging service

2004 ◽  
Vol 42 (7) ◽  
pp. 120-126 ◽  
Author(s):  
S. Coulombe ◽  
G. Grassel
Author(s):  
William B. O’Callaghan ◽  
David E.A. Nielsen ◽  
Matthew J. Hope ◽  
Sarah L. Whitehouse ◽  
S.L. Ezekiel Tan

Author(s):  
Kin-Choong Yow ◽  
Boon-Chong Seet

This chapter aims at describing a new platform for mobile and interactive learning targeted as an effective communication medium between the professor and students during lectures. In this system, students and professors will be equipped with a Multimedia Messaging Service (MMS) capable device (which may be PDAs, Laptops, or Tablet PCs) that is connected on the campus-wide Wireless LAN. During lectures, students can ask questions, response to questions or give immediate feedback on the lecture simply by composing a MMS message and sending it to the professor. The main advantage of this learning system is that MMS messaging is easily extensible to the mobile GSM networks, so students are not restricted to use it only on campus. In addition to enabling better interaction between students and instructor, an approach to facilitate student-to-student interaction during a lecture for peer-to-peer learning is proposed, which can be easily integrated into our existing system.


Author(s):  
Asma Saighi ◽  
Roose Philippe ◽  
Nassira Ghoualmi ◽  
Sébastien Laborie ◽  
Zakaria Laboudi

Nowadays, multimedia documents are omnipresent at any time from and to any devices. However, mobile devices heterogeneity and the various contexts of the user require their adaptation. In this context, the existing systems transform contents to comply with the target constraints. Nevertheless, the current solutions do not exploit the profile semantic benefits to reason upon the context for assisting the adaptation. Furthermore, there is no work that care of adapting HTML pages containing CSS and changing in time, where time specification is declarative (e.g. by means of timesheets). This paper provides an adaptation approach called “Handicap-based Multimedia Adaptation” (HaMA), in which each context constraint corresponds to handicap types in order to discover adaptation services. Thus, a generic ontology is introduced to reason upon the context and then deduces the corresponding handicap in order to infer the suitable adaptation guideline. Also, we propose a method for selecting appropriate services with respect to quality criteria. To validate HaMA, scenarios were implemented.


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