中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Sparse-Distinctive Saliency Detection

文献类型:期刊论文

作者Luo, Yongkang; Wang, Peng; Zhu, Wenjun; Qiao, Hong
刊名IEEE SIGNAL PROCESSING LETTERS
出版日期2015-09-01
卷号22期号:9页码:1378-1382
关键词Distinctness saliency sparsity visual attention
英文摘要In this letter, we propose a novel saliency model for saliency detection, named sparse-distinctive (SD) saliency model. Different from the existing models that only consider sparsity or distinctness of image, the proposed model computes saliency based on sparsity and distinctness. The basic idea is that sparsity and distinctness contribute to saliency simultaneously and play different roles under different scenes. This sparse-distinctive saliency model is based on some key ideas introduced in this letter and supported by psychological evidence. Experimental results on public benchmark eye-tracking datasets show that considering the sparsity and distinctness for saliency can improve the accuracy of predicting human fixations, and the proposed model outperforms the mainstream models on predicting human fixations.
WOS标题词Science & Technology ; Technology
类目[WOS]Engineering, Electrical & Electronic
研究领域[WOS]Engineering
关键词[WOS]VISUAL-ATTENTION ; VIDEO COMPRESSION ; IMAGE ; MODEL ; CONTEXT
收录类别SCI
语种英语
WOS记录号WOS:000358598800005
公开日期2015-12-24
源URL[http://ir.ia.ac.cn/handle/173211/8880]  
专题精密感知与控制研究中心_精密感知与控制
作者单位Chinese Acad Sci, Inst Automat, Beijing, Peoples R China
推荐引用方式
GB/T 7714
Luo, Yongkang,Wang, Peng,Zhu, Wenjun,et al. Sparse-Distinctive Saliency Detection[J]. IEEE SIGNAL PROCESSING LETTERS,2015,22(9):1378-1382.
APA Luo, Yongkang,Wang, Peng,Zhu, Wenjun,&Qiao, Hong.(2015).Sparse-Distinctive Saliency Detection.IEEE SIGNAL PROCESSING LETTERS,22(9),1378-1382.
MLA Luo, Yongkang,et al."Sparse-Distinctive Saliency Detection".IEEE SIGNAL PROCESSING LETTERS 22.9(2015):1378-1382.

入库方式: OAI收割

来源:自动化研究所

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