Modeling Bottom-Up Visual Attention for Color Images
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概要
- 論文の詳細を見る
Modeling visual attention provides an alternative methodology to image description in many applications such as adaptive content delivery and image retrieval. In this paper, we propose a robust approach to the modeling bottom-up visual attention. The main contributions are twofold: 1) We use a principal component analysis (PCA) to transform the RGB color space into three principal components, which intrinsically leads to an opponent representation of colors to ensure good saliency analysis. 2) A practicable framework for modeling visual attention is presented based on a region-level reliability analysis for each feature map. And then the salient map can be robustly generated for a variety of nature images. Experiments show that the proposed algorithm is effective and can characterize the human perception well.
- （社）電子情報通信学会の論文
- 2008-03-01
著者
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Li Ning
Beijing Jiaotong Univ. Beijing Chn
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XU De
Institute of Computer Science and Engineering, Beijing Jiaotong University
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Xu De
Beijing Jiaotong Univ. Beijing Chn
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Xu De
Institute Of Computer & Engineering Beijing Jiaotong University
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Li Ning
Institute Of Computer Science And Engineering Beijing Jiaotong University
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LANG Congyan
Institute of Computer Science and Engineering, Beijing Jiaotong University
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Lang Congyan
Institute Of Computer Science And Engineering Beijing Jiaotong University
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Li Ning
Institute Of Communications Engineering Pla University Of Science And Technology
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