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计算机工程 ›› 2007, Vol. 33 ›› Issue (22): 240-242. doi: 10.3969/j.issn.1000-3428.2007.22.083

• 多媒体技术及应用 • 上一篇    下一篇

基于音视特征的视频内容检测方法

蔡 群,陆松年,杨树堂   

  1. (上海交通大学电子信息与电气工程学院,上海 200240)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2007-11-20 发布日期:2007-11-20

Video Content Detection Method Based on Audio-visual Features

CAI Qun, LU Song-nian, YANG Shu-tang   

  1. (School of Electronic, Information and Electrical Engineering, Shanghai Jiaotong University, Shanghai 200240)
  • Received:1900-01-01 Revised:1900-01-01 Online:2007-11-20 Published:2007-11-20

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。

关键词: 音频分割, 肤色检测, 支持向量机, 视频内容识别

Abstract:

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.

Key words: audio segmentation, skin detection, support vector machine (SVM), video content recognition

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