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- W4232141546 abstract "Video clip localization consists in identifying real positions of a specific video clip in a video stream. To cope with this problem, we propose a new approach considering the maximum cardinality matching of a bipartite graph to measure video clip similarity with a target video stream which has not been prep recessed. We show that our approach locates edited video clips, but it does not deal with insertion and removal of frames/shots, allowing only changes in the temporal order of frames/shots. All experiments performed in this work have achieved 100% of precision for two different video datasets. And according to those experiments, our method can achieve a global recall rate of 90%." @default.
- W4232141546 created "2022-05-12" @default.
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- W4232141546 date "2007-10-01" @default.
- W4232141546 modified "2023-09-27" @default.
- W4232141546 title "Bipartite graph matching for video clip localization" @default.
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- W4232141546 doi "https://doi.org/10.1109/sibgrapi.2007.35" @default.
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