Exposing fake bitrate video and its original bitrate
Exposing fake bitrate video and its original bitrate
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DOI：
10.1109/icip.2013.6738925
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发表时间：
2013-09
期刊：
影响因子：
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通讯作者：
Shan Bian;Weiqi Luo;Jiwu Huang
中科院分区：
文献类型：
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作者：
Shan Bian;Weiqi Luo;Jiwu Huang
视频码率作为反映视频质量的重要因素之一，可以通过一些视频编辑软件轻松操控。例如，在某些取证场景中，视频共享网站的视频上传者可能会提高视频比特率以寻求更多商业利润。在本文中，我们尝试检测那些假的高比特率视频，然后进一步估计其原始比特率。所提出的方法主要基于这样的事实：如果借助视频编辑软件提高视频比特率，其基本视频质量根本不会提高。通过分析可疑视频的质量及其一系列不同较低比特率的重新编码版本，我们可以获得一条特征曲线来衡量视频质量的变化，然后我们提出一个紧凑的特征向量（3-D）来揭露假比特率视频及其原始比特率。在 CIF 和 QCIF 原始序列上评估的实验结果表明了该方法的有效性。
Video bitrate, as one of the important factors that reflect the video quality, can be easily manipulated via some video editing softwares. In some forensic scenarios, for example, video uploaders of video-sharing websites may increase video bitrate for seeking more commercial profits. In this paper, we try to detect those fake high bitrate videos, and then further to estimate their original bitrates. The proposed method is mainly based on the fact that if the video bitrate has been increased with the help of video editing software, its essential video quality will not increase at all. By analyzing the quality of the questionable video and a series of its re-encoded versions with different lower bitrates, we can obtain a feature curve to measure the change of the video quality, and then we propose a compact feature vector (3-D) to expose fake bitrate videos and their original bitrates. The experimental results evaluated on both CIF and QCIF raw sequences have shown the effectiveness of the proposed method.