Spatiotemporal volume saliency
文献类型：期刊论文
| 作者 | Shen, Enya; Wang, Yunhai; Li, Sikun |
| 刊名 | JOURNAL OF VISUALIZATION
 |
| 出版日期 | 2016 |
| 英文摘要 | This paper proposes spatiotemporal volume saliency to detect and explore salient regions in time-varying volume data. Based on the center-surround hypothesis that the salient region stands out from its surroundings, we extend the spatial saliency to time domain and introduce temporal volumesaliency. It is defined as a center-surround operator on Gaussian-weighted mean attribute gradient between steps in a scale-independent manner. By combing spatial saliency and temporal saliency together, our spatiotemporal volume saliency is effective in detecting changes of salient regions. We demonstrate its utility in this regard by automating transfer function design and selecting key frames for time-varying volume data. |
| 收录类别 | SCI |
| 原文出处 | http://www.live.springer.com/article/10.1007/s12650-015-0293-y |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/10166]  |
| 专题 | 深圳先进技术研究院_数字所 |
| 作者单位 | JOURNAL OF VISUALIZATION |
| 推荐引用方式 GB/T 7714 | Shen, Enya,Wang, Yunhai,Li, Sikun. Spatiotemporal volume saliency[J]. JOURNAL OF VISUALIZATION,2016. |
| APA | Shen, Enya,Wang, Yunhai,&Li, Sikun.(2016).Spatiotemporal volume saliency.JOURNAL OF VISUALIZATION. |
| MLA | Shen, Enya,et al."Spatiotemporal volume saliency".JOURNAL OF VISUALIZATION (2016). |
入库方式： OAI收割
来源：深圳先进技术研究院
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