基于信息融合算法的暴力视频内容识别

Information Composite Technology in Violent Video Content Recognition

针对暴力视频的检测方法均是单一模态的且效率相对较低等问题,提出文本、视频以及音频3种模态的信息融合算法,构建网络暴力视频识别系统,设计文本以及视音频分类器;将文本分类器当做预分类器完成视频的分类操作,从而获得候选暴力影视,随之运用视音频分类器完成对其的进一步分类;开展实验分析,并与单一模态的分类算法进行对比。结果表明,该信息融合算法显著提升了识别精度,缩减了计算量,改善了分类效果。

Aiming at the problem that the detection methods of violent video were single mode and relatively inefficient,an information composite algorithm of text,video and audio modes was proposed,a network violent video recognition system was constructed,and a text and audio classifier was designed.The text classifier was used as a pre-classifier to completed video classification,so as to obtain candidate violent movies and videos,then the video and audio classifier was applied in the further classification.The experiment was carried out and compared with the single mode classification algorithms.The results show that the information fusion algorithm significantly improves the recognition accuracy,reduces the amount of calculation,and improves the classification effect.