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- W2891048813 abstract "The detection of scene text in videos is of great value in various content-based video applications such as video analysis and retrieval. In this paper, we present a robust scene text detection and tracking method for videos. We first propose an effective deep neural network model for detecting text in individual video frames, which enhances the EAST model by introducing deconvolution layers and inception modules. We then present a correlation filter based tracking algorithm for text in the video and further combine detection and tracking results, which effectively enhances the final video text detection performance. The proposed method outperforms other state-of-the-art methods in experiments on public scene text video datasets." @default.
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- W2891048813 date "2018-01-01" @default.
- W2891048813 modified "2023-10-03" @default.
- W2891048813 title "A Robust Approach for Scene Text Detection and Tracking in Video" @default.
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- W2891048813 doi "https://doi.org/10.1007/978-3-030-00764-5_28" @default.
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