| Tag-Saliency: Combining bottom-up and top-down information for saliency detection | |
Zhu, Guokang1,2; Wang, Qi1; Yuan, Yuan1
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| 作者部门 | 光学影像学习与分析中心 |
| 2014 | |
| 发表期刊 | COMPUTER VISION AND IMAGE UNDERSTANDING
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| ISSN | 1077-3142 |
| 卷号 | 118期号:0页码:40-49 |
| 摘要 | In the real world, people often have a habit tending to pay more attention to some things usually noteworthy, while ignore others. This phenomenon is associated with the top-down attention. Modeling this kind of attention has recently raised many interests in computer vision due to a wide range of practical applications. Majority of the existing models are based on eye-tracking or object detection. However, these methods may not apply to practical situations, because the eye movement data cannot be always recorded or there may be inscrutable objects to be handled in large-scale data sets. This paper proposes a Tag-Saliency model based on hierarchical image over-segmentation and auto-tagging, which can efficiently extract semantic information from large scale visual media data. Experimental results on a very challenging data set show that, the proposed Tag-Saliency model has the ability to locate the truly salient regions in a greater probability than other competitors. (C) 2013 Elsevier Inc. All rights reserved. |
| 文章类型 | Article |
| 关键词 | Computer Vision Saliency Detection Visual Attention Image Tagging Visual Media Semantic |
| WOS标题词 | Science & Technology ; Technology |
| DOI | 10.1016/j.cviu.2013.07.011 |
| 收录类别 | SCI ; EI |
| 关键词[WOS] | VISUAL-ATTENTION ; IMAGE RETRIEVAL ; REGIONS ; CONTRAST ; OBJECTS ; COLOR ; MODEL |
| 语种 | 英语 |
| WOS研究方向 | Computer Science ; Engineering |
| WOS类目 | Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic |
| WOS记录号 | WOS:000328591500005 |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.opt.ac.cn/handle/181661/22347 |
| 专题 | 光谱成像技术研究室 |
| 作者单位 | 1.Chinese Acad Sci, Xian Inst Opt & Precis Mech, State Key Lab Transient Opt & Photon, Ctr OPT IMagery Anal & Learning OPTIMAL, Xian 710119, Shaanxi, Peoples R China 2.Xi An Jiao Tong Univ, Sch Elect & Informat Engn, Xian 710049, Shaanxi, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhu, Guokang,Wang, Qi,Yuan, Yuan. Tag-Saliency: Combining bottom-up and top-down information for saliency detection[J]. COMPUTER VISION AND IMAGE UNDERSTANDING,2014,118(0):40-49. |
| APA | Zhu, Guokang,Wang, Qi,&Yuan, Yuan.(2014).Tag-Saliency: Combining bottom-up and top-down information for saliency detection.COMPUTER VISION AND IMAGE UNDERSTANDING,118(0),40-49. |
| MLA | Zhu, Guokang,et al."Tag-Saliency: Combining bottom-up and top-down information for saliency detection".COMPUTER VISION AND IMAGE UNDERSTANDING 118.0(2014):40-49. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
| Tag-Saliency Combini（1850KB） | 期刊论文 | 出版稿 | 限制开放 | CC BY | 请求全文 | |
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