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。
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.
出处
《计算机工程》
CAS
CSCD
北大核心
2007年第12期220-221,227,共3页
Computer Engineering
基金
国家"863"计划基金资助重大项目(2005AA145110)
关键词
光流
关键帧
伽马矫正
Optical flow
Key-frame
Gamma correction
