论文标题
使用可靠的哈希进行时间操作视频的检测方法
A Detection Method of Temporally Operated Videos Using Robust Hashing
论文作者
论文摘要
众所周知，SNS提供商可以进行上传视频/图像的重新压缩和调整，但是大多数用于检测篡改视频/图像的传统方法在此类操作中不够强大。此外，视频是在时间上操作的，例如插入新框架和框架的排列，其中很难使用常规方法检测到其中的操作。因此，在本文中，我们提出了一种新颖的方法，即即使在视频中进行调整和压缩时，也可以使用可靠的散列算法来检测时间操作的视频。
SNS providers are known to carry out the recompression and resizing of uploaded videos/images, but most conventional methods for detecting tampered videos/images are not robust enough against such operations. In addition, videos are temporally operated such as the insertion of new frames and the permutation of frames, of which operations are difficult to be detected by using conventional methods. Accordingly, in this paper, we propose a novel method with a robust hashing algorithm for detecting temporally operated videos even when applying resizing and compression to the videos.
