This report describes our contribution to the 2017 Detection and Classification of Acoustic Scenes and Events (DCASE) challenge. We investigated two approaches for the acoustic scene classification task. Firstly, we ...

Environmental sound signals are multi-source, heterogeneous, and varying in time. Many systems have been proposed to process such signals for event detection in ambient assisted living applications. Typically, these systems ...

View synthesis prediction (VSP) is a codingmode that predicts video blocks from synthesised frames. It is particularly useful in a multi-camera setup with large inter-camera distances. Adding a VSP-based SKIP mode to a ...

One of the most attractive features of Massively Multiplayer Online Games (MMOGs) is the possibility for users to interact with a large number of other users in a variety of collaborative and competitive situations. Gamers ...

Deep learning techniques such as Convolutional Neural Networks (CNNs) have shown good results in activity recognition. One of the advantages of using these methods resides in their ability to generate features automatically. ...

We propose a framework for energy-based human activity recognition in a household environment. We apply machine learning techniques to infer the state of household appliances from their energy consumption data and use ...

Packet switched video telephony over wireless networks for hand-held devices requires low-delay, low-complexity error control mechanisms to deal with packet loss. We present an efficient solution for 3G networks based ...

Many peer-to-peer (P2P) systems have been proposed for the provision of scalable live video streaming services over the Internet. While the literature contains surveys of the architectures of these systems, there is a ...

Video surveillance is an important application for activity and security monitoring. Surveillance application can take advantage of wireless infrastructure which provides installation flexibility and terminal mobility. ...