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This paper presents a novel approach to the multiresolution analysis and scalability in video indexing and retrieval. A scalable algorithm for video parsing and key-frame extraction is introduced. The technique is based on real-time analysis of MPEG motion variables and scalable metrics simplification by discrete contour evolution. Furthermore, a hierarchical key-frame retrieval method using scalable colour histogram analysis is presented. It offers customisable levels of detail in thedoi:10.1109/icip.2002.1038185 dblp:conf/icip/CalicI02 fatcat:tqfea2benjgfxoyrwb26m2cgdy