Bottom-Up Visual Saliency Estimation With Deep Autoencoder-Based Sparse Reconstruction.
IEEE Transactions on Neural Networks and Learning Systems(2016)
摘要
Research on visual perception indicates that the human visual system is sensitive to center-surround (C-S) contrast in the bottom-up saliency-driven attention process. Different from the traditional contrast computation of feature difference, models based on reconstruction have emerged to estimate saliency by starting from original images themselves instead of seeking for certain ad hoc features. ...
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关键词
Image reconstruction,Visualization,Estimation,Adaptation models,Computational modeling,Feature extraction,Image color analysis
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