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Metadata-driven multimedia transcoding for distance learning

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Abstract

Advances in multimedia processing capabilities of electronic devices and the rapid growth of the Internet have contributed to the proliferation of collaborative applications such as distance learning (DL) webcasting. A key technical challenge in such DL systems is providing access to rich media content to any user regardless of device capabilities, network heterogeneity, and personal preferences. A novel MPEG-21-based adaptation architecture is presented to overcome these challenges by performing (1) application layer transcoding that adapts the presentation format of DL content to match device media decoding capabilities and user-desired modality, (2) bitstream transcoding to adapt multimedia to match device processing capabilities and encoding bit-rate supported by the network. Experimental results indicate that the proposed system delivers personalized DL content to meet end-user environmental restrictions with small transcoding overhead.

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Authors and Affiliations

  1. Multimedia Laboratory, The Edward S. Rogers Sr. Department of Electrical and Computer Engineering, University of Toronto, 10 King’s College Road, Toronto, M5S 3G4, Canada

    Mazen Almaoui, Azadeh Kushki & Konstantinos N. Plataniotis

Authors
  1. Mazen Almaoui
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  2. Azadeh Kushki
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  3. Konstantinos N. Plataniotis
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Corresponding author

Correspondence to Azadeh Kushki.

Additional information

This work is partially supported by the Network for Effective Collaboration Technologies through Advanced Research (NECTAR). The authors would like to thank the Knowledge Media Design Institute (KMDI) at the University of Toronto for use of their resources.

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Almaoui, M., Kushki, A. & Plataniotis, K.N. Metadata-driven multimedia transcoding for distance learning. Multimedia Systems 12, 505–520 (2007). https://doi.org/10.1007/s00530-006-0071-8

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