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- W2026879497 abstract "In this papera noveltwo-stage architecturefor object-basedsegmentation of moving sequences is proposed using multiple features such as motion, intensity and texture. The first stage locates perceptually meaningful objects using a hierarchyof single-feature segmentationprocesses. The second stage refines the boundaries of located objects using a combination of features according to a set of appropriate rules. Experimental results show that the proposedapproachyields intuitively correctas well as accurate segmentationsof moving sequences, which compare favourably with established state-of-the art techniques in the literature." @default.
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- W2026879497 date "2002-01-01" @default.
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- W2026879497 title "Multiple-Feature Spatiotemporal Segmentation of Moving Sequences using a Rule-based Approach" @default.
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- W2026879497 doi "https://doi.org/10.5244/c.16.33" @default.
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