<XML><RECORDS><RECORD><REFERENCE_TYPE>3</REFERENCE_TYPE><REFNUM>6375</REFNUM><AUTHORS><AUTHOR>Wills,C.J.</AUTHOR></AUTHORS><YEAR>2002</YEAR><TITLE>Video segmentation for post-production</TITLE><PLACE_PUBLISHED>Storage and Retireval for Media Databases, Proc. SPIE vol. 4676 </PLACE_PUBLISHED><PUBLISHER>SPIE</PUBLISHER><PAGES>158-167</PAGES><LABEL>Wills:2002:6375</LABEL><ABSTRACT>Specialist post-production is an industry that has much to gain from the application of content-based video analysis techniques. However the types of material handled in specialist post-production, such as television commercials, pop music videos and special effects are quite different in nature from the `typical' broadcast material which many video analysis techniques are designed to work with; shots are short and highly dynamic, and the transitions are often novel or ambiguous. We address the problem of scene change detection and develop a new algorithm which tackles some of the common aspects of post-production material that cause difficulties for past algorithms, such as illumination changes and jump cuts. Operating in the compressed domain on Motion JPEG compressed video, our algorithm detects cuts and fades by analysing each JPEG macroblock in the context of its temporal and spatial neighbours. Analysing the DCT coefficients directly we can extract the mean colour of a block and an approximate detail level. We can also perform an approximated cross-correlation between two blocks. The algorithm is part of a set of tools being developed to work with an automated asset management system designed specifically for use in post-production facilities. </ABSTRACT><URL>http://www.faraday.gla.ac.uk/papers/spie02-cwills.pdf</URL></RECORD></RECORDS></XML>