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- W2037290423 abstract "Visual attention is a mechanism which filters out redundant visual information and focus on the most relevant parts when observing an image,many bottom-up computational models of visual attention have been devised to get the saliency map for an image.In this paper, a new visual attention model is proposed.Based on the experimental results obtained in this study, as compared with existing bottom-up visual model, the proposed model has better visual detection performance and low computational complexity. DOI: http://dx.doi.org/10.11591/telkomnika.v11i11.3582" @default.
- W2037290423 created "2016-06-24" @default.
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- W2037290423 date "2013-11-01" @default.
- W2037290423 modified "2023-10-16" @default.
- W2037290423 title "A New Detection Model for Saliency Map" @default.
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- W2037290423 doi "https://doi.org/10.11591/telkomnika.v11i11.3582" @default.
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