Research Article
Transport mechanisms for metadata-driven distributed multimedia adaptation
@INPROCEEDINGS{10.1109/MSAN.2005.1489936, author={Michael Ransburg and Christian Timmerer and Hermann Hellwagner}, title={Transport mechanisms for metadata-driven distributed multimedia adaptation}, proceedings={1st International ICST Conference on Multimedia Services Access Networks}, publisher={IEEE}, proceedings_a={MSAN}, year={2005}, month={8}, keywords={MPEG-21 Digital Item Adaptation; distributed multimedia adaptation; metadata transport}, doi={10.1109/MSAN.2005.1489936} }- Michael Ransburg
Christian Timmerer
Hermann Hellwagner
Year: 2005
Transport mechanisms for metadata-driven distributed multimedia adaptation
MSAN
IEEE
DOI: 10.1109/MSAN.2005.1489936
Abstract
The information revolution of the last decade has resulted in a phenomenal increase in the quantity of multimedia content available to an increasing number of different users with different preferences who access it through a plethora of devices and over heterogeneous networks. In order to address the amount of different content types, MPEG-21 Digital Item Adaptation (DIA) introduces interoperable description tools which enable coding format independent adaptation. Bandwidthefficient transport of the content to terminals with different capabilities and through a variety of access networks with various characteristics requires adaptation facilities not only on the server but also within the network. In this paper we present transport mechanisms for MPEG-21-based metadata enabling generic adaptation within the network. Three different transport mechanisms for delivering this metadata in conjunction with the corresponding multimedia content are evaluated and a payload format for the transport of this metadata is presented. Furthermore, we performed measurements which demonstrate the bandwidth benefits of our distributed adaptation approach compared to server-centric adaptation in a multicast scenario. Finally, we applied various encoding formats for the metadata which further reduces the metadata overhead.
