联合时空SIFT特征的同源视频检测
通过对视频帧序列时空特性的分析，采用“局部趋同，全局异化”的策略，提出了一种联合时域和空域SIFT点特征的特征提取方法。实验表明，基于该特征的同源视频检测方法对于一定的视频变化具有较好的鲁棒性和检测精度。
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| Published in | 电子技术应用 Vol. 38; no. 3; pp. 130 - 133 |
|---|---|
| Main Author | |
| Format | Journal Article |
| Language | Chinese |
| Published |
国家数字交换系统工程技术研究中心,河南郑州,450002
2012
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| Subjects | |
| Online Access | Get full text |
| ISSN | 0258-7998 |
| DOI | 10.3969/j.issn.0258-7998.2012.03.042 |
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| Abstract | 通过对视频帧序列时空特性的分析，采用“局部趋同，全局异化”的策略，提出了一种联合时域和空域SIFT点特征的特征提取方法。实验表明，基于该特征的同源视频检测方法对于一定的视频变化具有较好的鲁棒性和检测精度。 |
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| AbstractList | TN915; 通过对视频帧序列时空特性的分析,采用“局部趋同,全局异化”的策略,提出了一种联合时域和空域SIFT点特征的特征提取方法.实验表明,基于该特征的同源视频检测方法对于一定的视频变化具有较好的鲁棒性和检测精度. 通过对视频帧序列时空特性的分析，采用“局部趋同，全局异化”的策略，提出了一种联合时域和空域SIFT点特征的特征提取方法。实验表明，基于该特征的同源视频检测方法对于一定的视频变化具有较好的鲁棒性和检测精度。 |
| Author | 张瑞年 于洪涛 李邵梅 |
| AuthorAffiliation | 国家数字交换系统工程技术研究中心,河南郑州450002 |
| AuthorAffiliation_xml | – name: 国家数字交换系统工程技术研究中心,河南郑州,450002 |
| Author_FL | Yu Hongtao Li Shaomei Zhang Ruinian |
| Author_FL_xml | – sequence: 1 fullname: Zhang Ruinian – sequence: 2 fullname: Yu Hongtao – sequence: 3 fullname: Li Shaomei |
| Author_xml | – sequence: 1 fullname: 张瑞年 于洪涛 李邵梅 |
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| Copyright | Copyright © Wanfang Data Co. Ltd. All Rights Reserved. |
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| DOI | 10.3969/j.issn.0258-7998.2012.03.042 |
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| DocumentTitleAlternate | Detection of coderivative video based on spatiotemporal SIFT |
| DocumentTitle_FL | Detection of coderivative video based on spatiotemporal SIFT |
| EndPage | 133 |
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| Keywords | 联合时空SIFT特征 视频帧序列时空特性 同源视频检测 |
| Language | Chinese |
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| Notes | detection of coderivative video; spatiotemporal characteristics of video frames sequences ;spatiotemporal SIFT char-acteristics 11-2305/TN Video features extraction is the important part of detection of coderivative video .SIFT features are local features with excellent performance. By anglicizing the temporal and spatial characteristics of video frames sequences SIFT feature, this paper takes the ＂local convergence, global alienation＂ strategy, and proposes a feature extraction method of spatiotemporal SIFY characteristics. Experiments of detection of coderivative video based on the method show that the proposed co-features has better robustness against certain changes of video sequences ,and also has a better detection accuracy than some existing methods. Zhang Ruinian, Yu Hongtao, Li Shaomei （National Digital Switching System Engineering ＆ Technological R＆D Center, Zhengzhou 450002, China） |
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| PublicationTitle | 电子技术应用 |
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| Snippet | 通过对视频帧序列时空特性的分析，采用“局部趋同，全局异化”的策略，提出了一种联合时域和空域SIFT点特征的特征提取方法。实验表明，基于该特征的同源视频检测方法对于一定... TN915; 通过对视频帧序列时空特性的分析,采用“局部趋同,全局异化”的策略,提出了一种联合时域和空域SIFT点特征的特征提取方法.实验表明,基于该特征的同源视频检测方法对于... |
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| StartPage | 130 |
| SubjectTerms | 同源视频检测 联合时空SIFT特征 视频帧序列时空特性 |
| Title | 联合时空SIFT特征的同源视频检测 |
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