ITM Web Conf.
Volume 12, 2017The 4th Annual International Conference on Information Technology and Applications (ITA 2017)
|Number of page(s)||7|
|Section||Session 1: Robotics|
|Published online||05 September 2017|
Double HEVC Compression Detection with Different Bitrates Based on Co-occurrence Matrix of PU Types and DCT Coefficients
1 School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, 100044
2 College of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, 210044, China
Detection of double video compression is of particular importance in video forensics, as it reveals partly the video processing history. In this paper, a double compression method is proposed for HEVC–the latest video coding standard. Firstly, four 5×5 co-occurrence matrixes were derived from DCT coefficients along four directions respectively, i.e., horizontal, vertical, main diagonal and minor diagonal. Then four 4×4 co-occurrence matrixes were derived from PU types which are innovative features of HEVC and rarely been utilized by researchers. Finally, these two feature set are combined and sent to support vector machine (SVM) to detect re-compressed videos. In order to reduce the feature dimension, only the co-occurrence matrixes of DCT coefficients and PU types in horizontal direction are adopted to identify whether the video has undergone double compression. Experimental results show the effectiveness and the robustness against frame deletion of the proposed scheme.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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