| 基于音视特征的视频内容检测方法 |
| |
| 引用本文： | 蔡 群,陆松年,杨树堂.基于音视特征的视频内容检测方法[J].计算机工程,2007,33(22):240-242. |
| |
| 作者姓名： | 蔡 群 陆松年 杨树堂 |
| |
| 作者单位： | (上海交通大学电子信息与电气工程学院，上海 200240) |
| |
| 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 |
Video Content Detection Method Based on Audio-visual Features |
| |
| CAI Qun,LU Song-nian,YANG Shu-tang.Video Content Detection Method Based on Audio-visual Features[J].Computer Engineering,2007,33(22):240-242. |
| |
| Authors: | CAI Qun LU Song-nian YANG Shu-tang |
| |
| Affiliation: | (School of Electronic, Information and Electrical Engineering, Shanghai Jiaotong University, Shanghai 200240) |
| |
| 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. |
| |
| Keywords: | audio segmentation skin detection support vector machine (SVM) video content recognition |
|
| 点击此处可从《计算机工程》浏览原始摘要信息 |
|
点击此处可从《计算机工程》下载全文 |
