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- W2078483022 abstract "The most eye catching regions within an image or video can be captured by exploiting characteristics within the human visual system. In this paper we propose a novel method for modeling the visual saliency information in a video sequence. The proposed method incorporates wavelet decomposition and the modeling of the human visual system to capture spatiotemporal saliency information. A unique approach to capture and combine salient motion data with spatial intensity and orientation contrasts in the sequence, is presented. The proposed method shows a superior performance compared to the state-of-the-art existing methods. The fast algorithm can be simply implemented and is useful for many wavelet based applications such as watermarking, compression and fusion." @default.
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- W2078483022 date "2012-05-01" @default.
- W2078483022 modified "2023-09-25" @default.
- W2078483022 title "Visual saliency estimation for video" @default.
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- W2078483022 doi "https://doi.org/10.1109/wiamis.2012.6226751" @default.
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