Temporal attention fusion for sports event detection

The employment of psychological measurement, attention, alleviates the semantic uncertainty around video events and leads to an effective general event detection approach. This paper proposes a multi-resolution autoregressive framework to estimate a unified attention curve from multi-modality salient features at different temporal resolutions. The highlights of this work are: (1) the capability of using data at very coarse temporal resolutions, e.g. three minutes; (2) the robustness against noise caused by modality asynchronism and feature collection size; and (3) the utilisation of Markovian temporal constrains on content presentation. This approach achieved 100% goal event coverage in the football video collection of the FIFA World Cup 2002, 2006 and UEFA League 2006.