| 网络视频内容的识别和过滤综述 |
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| 引用本文： | 彭乐,薛一波,王春露.网络视频内容的识别和过滤综述[J].计算机工程与设计,2008,29(10):2587-2591. |
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| 作者姓名： | 彭乐 薛一波 王春露 |
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| 作者单位： | 1. 北京邮电大学计算机科学与技术学院,北京,100876
2. 清华大学信息技术研究院,北京,100084 |
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| 摘 要： | 随着网络视频的迅猛发展和广泛使用,网络不良视频的识别和过滤日益重要.通过对图像内容识别与过滤、视频结构分析与检索两个领域技术发展的分析,阐述了一种综合利用视频时域分割、关键帧提取、图像内容识别及皮肤检测等视频分析方面关键技术的解决方法.该方法简单,并且容易实现.此外,介绍了目前网络视频内容识别和过滤的研究现状和主要应用,分析了其面对的主要问题及未来发展趋势.
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| 关 键 词： | 时域分割 关键帧提取 图像内容识别 皮肤检测 视频内容识别和过滤 |
| 文章编号： | 1000-7024(2008)10-2587-04 |
| 修稿时间： | 2007年6月29日 |
Survey on recognition and filtering of network video content |
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| PENG Le,XUE Yi-bo,WANG Chun-lu.Survey on recognition and filtering of network video content[J].Computer Engineering and Design,2008,29(10):2587-2591. |
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| Authors: | PENG Le XUE Yi-bo WANG Chun-lu |
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| Affiliation: | PENG Le1,XUE Yi-bo2,WANG Chun-lu1(1.School of Computer Science , Technology,Beijing University of Posts , Telecommunications,Beijing 100876,China,2.Research Institute of Information Science , Technology,Tsinghua University,Beijing 100084,China) |
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| Abstract: | With the rapid development and extensive use of network video,it is important for recognizing and filtering objectionable video.By analyzing the development of related fields,such as image content recognition and filtering,and content-based video analysis and retrieval,one solution is proposed in works which is based on the key technologies of video temporal segmentation,key frame ex-traction,image content recognition,and skin detection.Otherwise it is simple to understand and easy to be implemented.Then,th... |
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| Keywords: | video temporal segmentation key frame extraction image content recognition skin detection video content recognition and filtering |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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