real-time video analysis and personalized media streaming environments for large scale athletic events
This paper presents the architecture of the My-e-Director 2012, an FP7 call-1 European funded project in the objective area of Networked Media. My-e-Director 2012 is a unique interactive broadcasting platform, which enables end-users to have access on innovative services, like selection of focal actors/scenes and points of interest within real-time broadcasted streams. Emphasis is placed on the ambient camera selection module, which is the heart of the My-e-Director project. The ambient camera selection is responsible for detecting athletes in large-scale Olympic events. Then, this information is fed back to the system in order to allow for personalized video steaming and delivery services. Since detection of human in athletic event is a very demanding task, our method is based on a retrainable neural network architecture, which non-linearly models the color and texture properties of the object of interest. The retraining algorithm adapts the neural network model to fit the current environmental conditions, while simultaneously trusts as much as possible the previous information. The neural network classifier is combined with a conventional motion-based tracking scheme, which provides accurate contour detection. Aspects of multiple camera configurations are discussed.
personalized media streaming ambient camera selection real time context awareness user-centric networking