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- W2078132377 abstract "Visual attention analysis provides an alternative methodology to semantic image understanding in many applications such as adaptive content delivery and region-based image retrieval. In this paper, we propose a feasible and fast approach to attention area detection in images based on contrast analysis. The main contributions are threefold: 1) a new saliency map generation method based on local contrast analysis is proposed; 2) by simulating human perception, a fuzzy growing method is used to extract attended areas or objects from the saliency map; and 3) a practicable framework for image attention analysis is presented, which provides three-level attention analysis, i.e., attended view, attended areas and attended points. This framework facilitates visual analysis tools or vision systems to automatically extract attentions from images in a manner like human perception. User study results indicate that the proposed approach is effective and practicable." @default.
- W2078132377 created "2016-06-24" @default.
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- W2078132377 date "2003-11-02" @default.
- W2078132377 modified "2023-10-16" @default.
- W2078132377 title "Contrast-based image attention analysis by using fuzzy growing" @default.
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- W2078132377 doi "https://doi.org/10.1145/957013.957094" @default.
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