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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Shuangshuang Ji Huaping Liu Bin Wang Fuchun Sun |
| Copyright Year | 2013 |
| Description | Author affiliation: Sch. of Opt.-Electr. & Comput. Eng., Univ. of Shanghai for Sci. & Technol., Shanghai, China (Shuangshuang Ji) || Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing, China (Huaping Liu; Fuchun Sun) || Beijing Baidu Netcom Sci. Technol. Co., Ltd., Beijing, China (Bin Wang) |
| Abstract | 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. |
| Sponsorship | IEEE Robot. Autom. Soc. |
| Starting Page | 2154 |
| Ending Page | 2159 |
| File Size | 2021479 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781479927449 |
| DOI | 10.1109/ROBIO.2013.6739788 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-12-12 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Smart phones Accelerometers Feature extraction Intelligent sensors Acceleration Vectors |
| Content Type | Text |
| Resource Type | Article |
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