Predictive Video Saliency Detection
文献类型：会议论文
| 作者 | Qian Li; Shifeng Chen; Beiwei Zhang |
| 出版日期 | 2012 |
| 会议名称 | Chinese Conference on Pattern Recognition |
| 会议地点 | 中国 |
| 英文摘要 | Human Visual System has the characters of focusing on salient regions when seeing images or videos. The method which finds the irregularity and unpredictability of images or videos by simulating human visual system is called saliency detection. In this paper, we propose a novel video saliency detection method based on temporal consistency. The traditional video detection approaches fall into two main groups. One processes a video frame by frame independently without considering motion information, and the other regards optical flow only as a part of features without taking account of consistency of video saliency between consecutive frames. In the proposed method, the temporal consistency constraint is enforced by using motion vectors. By constructing correspondences via motion information, the saliency map of each frame can be predicted by the result of its previous frame. By combining the predicted results and the traditional approaches, our algorithm can achieve better video saliency maps. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/3798]  |
| 专题 | 深圳先进技术研究院_集成所 |
| 作者单位 | 2012 |
| 推荐引用方式 GB/T 7714 | Qian Li,Shifeng Chen,Beiwei Zhang. Predictive Video Saliency Detection[C]. 见:Chinese Conference on Pattern Recognition. 中国. |
入库方式： OAI收割
来源：深圳先进技术研究院
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。