Adaptive Content Delivery: A New Research Area in Media Computing

  • HongJiang Zhang

The explosive growth of the Internet has resulted in increasing diversity and heterogeneity in terms of client device capability, network bandwidth, and user preferences. To date, most Web content has been designed with desktop computers in mind, and often contains rich media such as images, audio, and video. In many cases, this content is not suitable for devices like WebTVs, personal digital assistants, and smart phones with relatively limited display capability, storage, processing power, and network access. To support universal access and ubiquitous browsing, there is a need to develop alternative approaches for information delivery. In this paper, we review a framework for adaptive content delivery in heterogeneous environments, aiming at improving content accessibility under changing network and viewer conditions. The framework includes content adaptation schemes, client capability and network bandwidth discovery methods, and a Decision Engine for adaptation selection. We also address research issues in the deployment of such systems technologies.