Abstract
During the process of authenticating the integrity of digital videos, double compression is an important evidence. High-efficiency video coding (HEVC) is the latest coding standard proposed in 2013 and has shown superior performance over its predecessors. It brings in several novel syntactic units, such as coding tree unit (CTU), prediction unit (PU), and transform unit (TU). Few methods have been reported to detect HEVC double compression by utilizing such new characteristics. In this paper, a novel scheme based on TU is proposed to detect double compression of HEVC videos. The histogram of each TU partition type in the first I/P frame of all GOPs is calculated. The feature set is fed into SVM to classify single and double compressed videos. Experimental results have demonstrated the effectiveness of TU-based feature (accuracy in [0.84, 0.97]) that bears very low dimension (10-D). And it is also shown that TU-based feature set can be combined with other feature sets to boost their performance.
Highlights
Nowadays, video editing software can be accessed
We focus on the situation with designated bitrate and detecting High-efficiency video coding (HEVC) double compression with different bitrates
The distinguishing feature set is composed of the histogram of transform unit (TU) partition type
Summary
Video editing algorithms have been proposed by researchers [1]. The editing of videos becomes easier and easier. Video editing helps people to achieve astounding visual effect in some situations, e.g., movies and video advertisements. On the other hand, editing videos with malicious purpose may lead to potentially serious moral, ethical, and legal consequences if tampered videos are considered as evidences. It is important to verify the integrity and authenticity of videos
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