Global and local exploitation for saliency using bag-of-words
文献类型:期刊论文
作者 | Zheng, Zhenzhu; Zhang, Yun; Yan, Luxin |
刊名 | IET COMPUTER VISION
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出版日期 | 2014 |
英文摘要 | The guidance of attention helps human vision system to detect objects rapidly. In this study, the authors present a new saliency detection algorithm by usingbag-of-words (BOW) representation. The authors regard salient regions as coming from globally rare features and regions locally differ from their surroundings. Our approach consists of three stages: first, calculate global rarity of visual words. A vocabulary, a group of visual words, is generated from the given image and a rarity factor for each visual word is introduced according to its occurrence. Second, calculate local contrast. Representations of local patch are achieved from the histograms of words. Then, local contrast is computed by the difference between the two BOW histograms of a patch and its surroundings. Finally,saliency is measured by the combination of global rarity and local patch contrast. We compare our model with the previous methods on natural images, and experimental results demonstrate good performance of our model and fair consistency with human eye fixations. |
收录类别 | SCI |
原文出处 | http://www.crossref.org/iPage?doi=10.1049%2Fiet-cvi.2013.0132 |
语种 | 英语 |
源URL | [http://ir.siat.ac.cn:8080/handle/172644/5938] ![]() |
专题 | 深圳先进技术研究院_数字所 |
作者单位 | IET COMPUTER VISION |
推荐引用方式 GB/T 7714 | Zheng, Zhenzhu,Zhang, Yun,Yan, Luxin. Global and local exploitation for saliency using bag-of-words[J]. IET COMPUTER VISION,2014. |
APA | Zheng, Zhenzhu,Zhang, Yun,&Yan, Luxin.(2014).Global and local exploitation for saliency using bag-of-words.IET COMPUTER VISION. |
MLA | Zheng, Zhenzhu,et al."Global and local exploitation for saliency using bag-of-words".IET COMPUTER VISION (2014). |
入库方式: OAI收割
来源:深圳先进技术研究院
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