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https://irlib.pccu.edu.tw/handle/987654321/35865
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| 题名: | Low-complexity range tree for video synopsis system |
| 作者: | Hsia, CH (Hsia, Chih-Hsien)
Chiang, JS (Chiang, Jen-Shiun)
Hsieh, CF (Hsieh, Chi-Fang) |
| 贡献者: | 電機系 |
| 关键词: | Object detection
Video retrieval system
Gaussian mixture model
Low-complexity range tree
Video synopsis system |
| 日期: | 2016-08 |
| 上传时间: | 2017-04-11 14:53:59 (UTC+8) |
| 摘要: | This work proposes an efficient video retrieval technique for video synopsis. In a video system, the Region of Interest (ROI) should be extracted in a long video effectively such that users can browse it quickly and easily. Focusing on the characteristics of objects in the foreground of real-world video sequences, this work employs the Gaussian Mixture Model (GMM) and color-histograms for object detection. In order to reduce the search time, a new video synopsis search approach, a low-complexity range tree algorithm, is proposed to improve the effectiveness of searches for objects of interest matching pre-set conditions. With the time and space redundancy-reducing techniques of video synopsis, the objects of interest can be displayed within a short time. Objects and events can be found and displayed quickly without allocating time to watching non-ROIs. For the test video sequences, the results show an accuracy rate of 97 % and a processing speed of 32 FPS (frames per second) in the online phase, and the time complexity of object searching is reduced from O(N) to O(log (D-1) N). |
| 關聯: | MULTIMEDIA TOOLS AND APPLICATIONS 卷: 75 期: 16頁碼: 9885-9902 |
| 显示于类别: | [電機工程系] 期刊論文
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