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• W2169041475 abstract "This paper proposes a generic model for unsupervised extraction of viewer's attention objects from color images. Without the full semantic understanding of image content, the model formulates the attention objects as a Markov random field (MRF) by integrating computational visual attention mechanisms with attention object growing techniques. Furthermore, we describe the MRF by a Gibbs random field with an energy function. The minimization of the energy function provides a practical way to obtain attention objects. Experimental results on 880 real images and user subjective evaluations by 16 subjects demonstrate the effectiveness of the proposed approach." @default.
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• W2169041475 date "2006-01-01" @default.
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• W2169041475 title "Unsupervised extraction of visual attention objects in color images" @default.
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• W2169041475 doi "https://doi.org/10.1109/tcsvt.2005.859028" @default.
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