Key-Frame Extraction for Video Captured by Smart Phones

被引：0
|
作者：
Ji, Shuangshuang [1 ]
Liu, Huaping [2 ]
Wang, Bin [3 ]
Sun, Fuchun [2 ]
机构：
[1] Univ Shanghai Sci & Technol, Sch Opt Elect & Comp Engn, Shanghai 200093, Peoples R China
[2] Tsinghua Univ, Dept Comp Sci & Technol, State Key Lab Intelligent Technol & Syst, Beijing 100084, Peoples R China
[3] Beijing Baidu Netcom Sci Technol Co Ltd, Beijing, Peoples R China
来源：
2013 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS (ROBIO) | 2013年
关键词：
D O I：
暂无
中图分类号：
Q [生物科学];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
In this paper, the key-frame extraction for video clips which are captured by smart phones are investigated. A weighted temporal consistent fuzzy clustering technology is used to cluster the video frames. The image-level feature and the orientation information are combined into the feature vector and the accelerate values are used to determine the weight. Such a method sufficiently exploits the spatio-temporal characterizes of the video clips captured by smart phones. The algorithm is implemented in a Sumsung Nexus S smart phone and we make an extensive experimental validation.
引用
收藏
页码：2154 / 2159
页数：6
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