摘要
提出了一种结合音视频双重特征检测视频内容的新方法,以提高对视频内容的识别准确率。该方法分别对视觉特征和音频特征进行分析,引入支持向量机对音频段进行分类,并综合音视域的分析结果对视频内容进行判断。针对特殊视频片断进行分析,证明结合音视特征的分析方法可行有效,可应用于视频内容监控及特定视频片段的检索与分割。
A novel audio-visual feature-based framework for porn video segment detection is presented, which extracts and analyses audio and video features independently, and combines their results to give out a final detection result, A support vector machine （SVM） is used to learn and then classify the audio sections, and skin info is used to give out a visual analysis result. Experiment results indicate that this approach has a high recognition rate, so it can be adopted to surveillance for video streams and segmentation of particular content in videos.
出处
《计算机工程》
CAS
CSCD
北大核心
2007年第22期240-242,共3页
Computer Engineering
基金
国家"863"计划基金资助项目(2002AA145090
2005AA145110)
关键词
音频分割
肤色检测
支持向量机
视频内容识别
audio segmentation
skin detection
support vector machine （SVM）
video content recognition
