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• W1967542227 abstract "This paper tackles the issue of retrieving different instances of an object of interest within a given video document or in a video database. The principle consists of considering a semi-global image representation based on an over-segmentation of image frames. An aggregation mechanism is then applied in order to group a set of sub-regions into an object similar to the query, under a global similarity criterion. Two different types of approaches are proposed. The first one involves a greedy, dynamic region construction method. The second is based on simulated annealing, and aims at determining a global optimum of the similarity function. Experimental results show promising performances, with FT and BE detection rates of up to 66% and 86%, respectively." @default.
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• W1967542227 date "2011-11-01" @default.
• W1967542227 modified "2023-10-14" @default.
• W1967542227 title "Detection of Multiple Instances of Video Objects" @default.
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• W1967542227 doi "https://doi.org/10.1109/sitis.2011.74" @default.
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