Visual Saliency Based Aerial Video Summarization By Online Scene Classification
文献类型：会议论文
| 作者 | Jiewei Wang; Yunhong Wang; Zhaoxiang Zhang
|
| 出版日期 | 2011-08-12 |
| 会议日期 | 12-15 August 2011 |
| 会议地点 | Hefei, China |
| 关键词 | Streaming Media Visualization Feature Extraction Cameras Humans Motion Segmentation Image Segmentation |
| 英文摘要 | Compared with traditional video summarization approaches, aerial video summarization is a new and challenging issue for its particular characteristics. Aerial video data is a massive data stream, without pre-edit structures such as sports or news video data, lack of camera motion such as zoom and pan. On account of these characteristics, we proposed a novel approach for summarization. First, we extract GIST features for each frame as the holistic scene representation. Then, we divide aerial video into temporal segments representing a visual scene using on-line clustering method by examine GIST features of each frame only once. Finally, we select several key frames from each scene for summarization according to visual saliency index (VSI) of each frame computed from their visual saliency map. In the paper, we proposed new criterion for estimation of temporal segmentation of streaming video. Experimental observations show the success of our approach on aerial video summarization. |
| 会议录 | ICIG 2011
 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/13282]  |
| 专题 | 自动化研究所_智能感知与计算研究中心 |
| 通讯作者 | Zhaoxiang Zhang |
| 推荐引用方式 GB/T 7714 | Jiewei Wang,Yunhong Wang,Zhaoxiang Zhang. Visual Saliency Based Aerial Video Summarization By Online Scene Classification[C]. 见:. Hefei, China. 12-15 August 2011. |
入库方式： OAI收割
来源：自动化研究所
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