Adaptive Non-linear Intensity Mapping Based Salient Region Extraction
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概要
- 論文の詳細を見る
Salient Region Extraction 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 extracting the salient region based on bottom-up visual attention. The main contributions are twofold: 1) Instead of the feature parallel integration, the proposed saliencies are derived by serial processing between texture and color features. Hence, the proposed approach intrinsically provides an alternative methodology to model attention with low implementation complexity. 2) A constructive approach is proposed for rendering an image by a non-linear intensity mapping, which can efficiently eliminate high contrast noise regions in the image. 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
- 2009-04-01
著者
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Li Ning
Beijing Jiaotong Univ. Beijing Chn
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LIU Shuoyan
Institute of Computer Science and Engineering, Beijing Jiaotong University
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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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Liu Shuoyan
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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Liu Shuoyan
Institute Of Computer 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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Liu Shuoyan
Institute Of Computer & Engineering Beijing Jiaotong University
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