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计算机工程 ›› 2007, Vol. 33 ›› Issue (12): 220-221,. doi: 10.3969/j.issn.1000-3428.2007.12.077

• 多媒体技术及应用 • 上一篇    下一篇

基于光流法的不良视频检测算法

吕 丽,杨树堂,陆松年,李建华   

  1. (上海交通大学信息安全工程学院,上海 200240)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2007-06-20 发布日期:2007-06-20

Objectionable Videos Detection Algorithm Based on Optical Flow

LV Li, YANG Shutang, LU Songnian, LI Jianhua   

  1. (School of Information Security Engineering, Shanghai Jiaotong University, Shanghai 200240)
  • Received:1900-01-01 Revised:1900-01-01 Online:2007-06-20 Published:2007-06-20

摘要: 提出了一种适用于流媒体中的不良视频检测算法,提出了4点约束光流算法,利用局部光流信息提取关键帧,对关键帧中的前景部分进行肤色检测,考虑了光照不足的情况,在肤色检测前加入伽马矫正,提出了一种有效的判决准则,实现整段视频的判别。实验表明,该算法识别率达到80%,鲁棒性较好,适用于视频检测环境。

关键词: 光流, 关键帧, 伽马矫正

Abstract: This paper addresses the problem of detecting objectionable videos. An optical flow based key-frame selection algorithm is presented. It makes use of the key-frame and frames near it to select the foreground. With the view of bad illumination, a new gamma correction method before the skin detection is introduced. An effective determining rule is given. The experimental results show that the method’s correct detection is up to 80% and it is fit for the video detection environment.

Key words: Optical flow, Key-frame, Gamma correction

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