<XML><RECORDS><RECORD><REFERENCE_TYPE>3</REFERENCE_TYPE><REFNUM>8986</REFNUM><AUTHORS><AUTHOR>Ren,R.</AUTHOR><AUTHOR>Yue,F.</AUTHOR><AUTHOR>Jose,J.M.</AUTHOR></AUTHORS><YEAR>2008</YEAR><TITLE>Temporal Attention Fusion for Sports Event Detection</TITLE><PLACE_PUBLISHED>The 5th IET Visual Information Engineering 2008 Conference (VIE'08)</PLACE_PUBLISHED><PUBLISHER>IEE</PUBLISHER><PAGES>286-290</PAGES><ISBN>1751-9659</ISBN><LABEL>Ren:2008:8986</LABEL><KEYWORDS><KEYWORD>attention fusion</KEYWORD></KEYWORDS<ABSTRACT>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.</ABSTRACT></RECORD></RECORDS></XML>