towards context-based dynamic video adaptation
Nowadays, many devices with different characteristics can be used to access a multimedia content. Some of these characteristics, like memory capacity and screen resolution, turn restricted the access to this content. Researchers have been working in automatically adapting the system, in according with the device capabilities. However, most of this works only consider the network condition, such as bandwidth and packet loss, offering services in a static way. This work presents an alternative for video adaptation. Using a Neural Network we analyze data, suchas devices capabilities, user's preferences or network condition, in order to obtain the most adequate coder's input parameters that will adapt content matching devices' restrictions or users' needs.
neural network media adapting context-aware