Scalable e-learning multimedia adaptation architecture

Authors:
Mazen Almaoui;Konstantinos N. Plataniotis
Affiliations:
Dept. of Electrical and Computer Engineering, University of Toronto;Dept. of Electrical and Computer Engineering, University of Toronto
Venue:
ICIAR'05 Proceedings of the Second international conference on Image Analysis and Recognition
Year:
2005

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Abstract

A neglected challenge in existing e-Learning (eL) systems is providing access to multimedia to all users regardless of environmental conditions such as diverse device capabilities, the heterogeneity of the underlying IP network, and user modality preference. This paper proposes a novel two-tier transcoding framework capable of adapting eL multimedia to meet the end-user environmental challenges. This two-tier architecture consists of 1)an application layer transcoder that adapts the presentation format of the eL content as viewed in a browser to meet device capabilities and user modality preference, 2) a bitstream transcoder that transforms multimedia streams to conform to the device's processing capabilities and to adapt the encoding rate to meet the network's fluctuating bandwidth. Results demonstrate the eL multimedia transcoding for mobile devices and its low overhead delays.