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- W2084043679 abstract "Action recognition is a challenging topic in computer vision. in this work, we present a novel method for action recognition which is based on two claimed contributions: semantic feature description and cross classification. the designed descriptor is combined by several local 3d-sift and is informative and distinctive, reflecting the spatiooral clues of the video. the cross classification effectively combines the feature localization and action categorization together. the proposed method is justified on a popular dateset named ucf50 and the experimental results demonstrate that our method outperforms the state-of-the-art competitors. © 2014 ieee." @default.
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- W2084043679 date "2014-07-01" @default.
- W2084043679 modified "2023-09-27" @default.
- W2084043679 title "Action recognition based on semantic feature description and cross classification" @default.
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- W2084043679 doi "https://doi.org/10.1109/chinasip.2014.6889319" @default.
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