Live video adaptation: a context-aware approach

Nowadays, networks can be accessed by multiple devices with different characteristics. Some of these characteristics, such as low processing power and memory capability, restrict the access to multimedia content. Researchers have then focused on developing automatic content adaptations in order to present the data according to devices' capabilities. One method that can be used to achieve content adaptation is the transcoding model. This paper presents a method of exploring context-aware computing in order to adapt video content in a way to be successfully accessed by users with different devices capabilities. It also presents an implementation of the transcoding model using efficient open source tools available in the literature. Finally, the adaptation mechanism is applied in the iClass system, a capture & access application used in lectures.

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