<XML><RECORDS><RECORD><REFERENCE_TYPE>3</REFERENCE_TYPE><REFNUM>8695</REFNUM><AUTHORS><AUTHOR>Hopfgartner,F.</AUTHOR><AUTHOR>Jose,J.M.</AUTHOR></AUTHORS><YEAR>2007</YEAR><TITLE>A News Video Retrieval Framework for the Study of Implicit Relevance Feedback</TITLE><PLACE_PUBLISHED>SMAP '07 - 2nd International Workshop on Semantic Media Adaptation and Personalization, London, United Kingdom</PLACE_PUBLISHED><PUBLISHER>IEEE</PUBLISHER><PAGES>233-236</PAGES><LABEL>Hopfgartner:2007:8695</LABEL><KEYWORDS><KEYWORD>news video retrieval</KEYWORD></KEYWORDS<ABSTRACT>In this paper, we propose a framework for recording, analysing, indexing and retrieving news video retrieval such as the BBC One O'Clock News. We believe that such a framework will be useful to identify implicit indicators of relevance, a nearly untouched area in adaptive multimedia retrieval. Due to its advantages as a web application and its up-to-date content, it can be a promising approach to motivate a broad quantity of users to interact with the system.</ABSTRACT><URL>http://doi.ieeecomputersociety.org/10.1109/SMAP.2007.3</URL></RECORD></RECORDS></XML>