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- W2896732297 abstract "In this paper, the VIREO team video retrieval tool is described in details. As learned from Video Browser Showdown (VBS) 2018, the visualization of video frames is a critical need to improve the browsing effectiveness. Based on this observation, a hierarchical structure that represents the video frame clusters has been built automatically using k-means and self-organizing-map and used for visualization. Also, the relevance feedback module which relies on real-time support-vector-machine classification becomes unfeasible with the large dataset provided in VBS 2019 and has been replaced by a browsing module with pre-calculated nearest neighbors. The preliminary user study results on IACC.3 dataset show that these modules are able to improve the retrieval accuracy and efficiency in real-time video search system." @default.
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- W2896732297 date "2018-12-11" @default.
- W2896732297 modified "2023-09-28" @default.
- W2896732297 title "VIREO @ Video Browser Showdown 2019" @default.
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- W2896732297 doi "https://doi.org/10.1007/978-3-030-05716-9_54" @default.
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