• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>International Conference on Cloud Computing and Security >Frame-Deletion Detection for Static-Background Video Based on Multi-scale Mutual Information
【24h】

Frame-Deletion Detection for Static-Background Video Based on Multi-scale Mutual Information

机译：基于多尺度互信息的静态背景视频帧删除检测

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Due to enormous free video editing software on the Internet, tampering of digital videos has become very easy. Authenticating the integrity of videos and detecting any video forgery is a big challenge to researchers. In this paper, an algorithm based on the normalized mutual information feature is proposed to detect the frame-deleting videos which are hardly identified by human visual. The proposed method is composed of two parts: feature extraction and abnormal point detection. Firstiy, based on information theory, the normalized mutual information is defined on the single scale visual content of adjacent frames. After using the Gaussian pyramid transform on every frame, the description operator of multi-scale normalized mutual information is computed by linear combination. In the stage of discontinuity point detection, video forgery is identified and the tampering point is localized by performing modified generalized ESD test.
机译：由于Internet上有大量免费的视频编辑软件，因此篡改数字视频变得非常容易。验证视频的完整性并检测任何视频伪造对研究人员来说是一个巨大的挑战。提出了一种基于归一化互信息特征的算法来检测人眼难以识别的删除帧视频。所提出的方法由两部分组成：特征提取和异常点检测。首先，基于信息论，在相邻帧的单尺度视觉内容上定义归一化的互信息。在每帧上使用高斯金字塔变换后，通过线性组合计算多尺度归一化互信息的描述算子。在不连续点检测阶段，通过执行改进的广义ESD测试，可以识别视频伪造并定位篡改点。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号