基于P帧PU划分模式的H.264至HEVC视频转码重压缩检测算法

doi:10.3969/j.issn.0255-8297.2018.02.007

Abstract

Abstract:

In this paper, a new algortithm engaging in detecting transcoding from H.264 to HEVC is proposed. PU partitioning mode, which is one of the new characteristics of HEVC (high efciency video coding), is investigated. The histogram of the PU size in the frst P frames of all GOPs is utilized as the feature set, and SVM with the statistical results is used for video classifcation. Experimental results demonstrate the effectiveness of our proposed method in distinguishing transcoded videos from single compressed videos, with a improved classifation accuracy of higher than 90%.

Key words: H.264, video forensic, double compression, transcoding, HEVC

CLC Number:

TN919.81

YU Li-fang, ZHANG Zhen-zhen, YANG Xian, LI Zhao-hong. P Frame PU Partitioning Mode Based H.264 to HEVC Video Transcoding Detection[J]. Journal of Applied Sciences, 2018, 36(2): 278-286.

References

[1] Zhou Z L, Wang Y L, Jonathan Q M W, Yang C N, Sun X M. Effective and efcient global context verifcation for image copy detection[J]. IEEE Transactions on Information Forensics and Security, 2017, 12(1):48-63.
[2] Zhou Z L, Yang C N, Chen B J, Sun X M, Qi L, Jonathan Q M W. Effective and efcient image copy detection with resistance to arbitrary rotation[J]. IEICE Transactions on Information & Systems, 2016, E99-D (6):1531-1540.
[3] Li J, Li X L, Bin Y, Sun X M. Segmentation-based image copy-move forgery detection scheme[J]. IEEE Transactions on Information Forensics and Security, 2015, 10(3):507-518.
[4] 杨滨,陈先意,胡伟峰. 基于阴影检测模型的图像拼接盲取证[J]. 应用科学学报,2016, 34(5):564-574. Yang B, Chen X Y, Hu W F. Blind detection of image splicing based on shadow model[J]. Journal of Applied Sciences, 2016, 34(5):564-574. (in Chinese)
[5] Wang J W, Li T, Shi Y Q, Lian S G, Ye J Y. Forensics feature analysis in quaternion wavelet domain for distinguishing photographic images and computer graphics[J]. Multimedia Tools and Applications, 2017, 76(22):23721-23737.
[6] 张晓琳,方针,张新鹏. 利用通道间相关性的CFA图像盲取证[J]. 应用科学学报, 2015, 33(1):87-94. Zhang X L, Fang Z, Zhang X P. Forgery detection via inter-channel correlation of CFA images[J]. Journal of Applied Sciences, 2015, 33(1):87-94. (in Chinese)
[7] Huang Z S, Huang F J, Huang J W. Detection of double compression with the same bit rate in MPEG-2 videos[C]//IEEE China Summit & International Conference on Signal and Information Processing. IEEE, 2014:306-309.
[8] Luo W, Wu M, Huang J. Mpeg recompression detection based on block artifacts[J]. Proceedings of SPIE, 2008, 6819:68190X-68190X-12.
[9] Dong Q, Yang G, Zhu N. A Mcea based passive forensics scheme for detecting frame-based video tampering[J]. Digital Investigation, 2012, 9(2):151-159.
[10] Xu J Y, Su Y T, Liu Q Z. Detection of double MPEG-2 compression based on distribution of DCT coefcients[J]. International Journal of Pattern Recognition & Artifcial Intelligence, 2013, 27(1):155-167.
[11] Liao D, Yang R, Liu H, Double H. 264/AVC compression detection using quantized nonzero AC coefcients[J]. Proceedings of SPIE-The International Society for Optical Engineering, 2011, 7880(2):78800Q-78800Q-10.
[12] Hou J J, Zhang Z Z, Zhang Y, Shi Y. Detecting multiple H.264/AVC Compressions with the same quantization parameters[J]. IET Information Security, 2016, 11(3).
[13] Pan Z Q, Lei J J, Zhang Y, Sun X M, Kwong S. Fast motion estimation based on content property for low-complexity H.265/HEVC encoder[J]. IEEE Transactions on Broadcasting, 2016, 62(3):675-684.
[14] Pan Z Q, Peng J, Lei J J, Zhang Y, Sun X M, Kwong S. Fast reference frame selection based on content similarity for low complexity HEVC encoder[J]. Journal of Visual Communication and Image Representation, 2016, 40(PB):516-524.
[15] 黄美玲,王让定,徐健,李倩,徐达文. 基于DCT系数统计特性的HEVC视频双压缩检测算法[J]. 光电子·激光,2015, 26(4):733-739. Huang M L, Wang R D, Xu J, Li Q, Xu D W. Detection of double compression in HEVC videos based on the statistical characteristic of DCT coefcient[J]. Journal of Optoelectronics·Laser, 2015, 26(4):733-739. (in Chinese)
[16] Huang M L, Wang R D, Xu J, Xu D W, Li Q. Detection of double compression for HEVC videos based on the co-occurrence matrix of DCT coefcients[C]//International Workshop on Digital Watermarking. Springer International Publishing, 2015:61-71.
[17] 黄美玲,王让定,徐健,徐达文,李倩. 基于Markov特征优化的HEVC视频双压缩检测算法[C]//第十二届全国信息隐藏暨多媒体信息安全学术大会,2015.
[18] 李冬冬,李赵红,张珍珍,贾瑞时. 基于PU块划分模式的HEVC视频重压缩检测算法[C]//第十三届全国信息隐藏暨多媒体信息安全学术大会,2016.
[19] 贾兰超. 针对不同编码方式的视频重压缩检测算法研究[D]. 北京:北京交通大学,2017.
[20] https://github.com/lheric/GitlHEVCAnalyzer, accessed 1 January 2018.
[21] http://www.media.xiph.org/video/derf/, accessed 2 August 2015.
[22] http://www.trace.eas.asu.edu/yuv/index.html, accessed 2 August 2015.
[23] http://download.csdn.net/download/amymayadi/7903385, accessed 2 August 2015.
[24] http://iphome.hhi.de/suehring/tml/, accessed 20 January 2018.
[25] Chang C C, Lin C J. LIBSVM:a library for support vector machines[J]. ACM Transactions on Intelligent Systems and Technology, 20112(3):1-27.

P Frame PU Partitioning Mode Based H.264 to HEVC Video Transcoding Detection

PDF

Knowledge

Cited

Abstract

Cite this article

share this article

References

Related Articles 2

Recommended Articles

Metrics

Comments

[1]	LI Songbin, YANG Jie, LIU Peng, WANG Lingrui. Steganalysis of Motion Vector-Based Steganography in H.264/AVC by Correlation Network Model [J]. Journal of Applied Sciences, 2019, 37(5): 663-672.
[2]	LI Xiao hui. Video Transcoding Based on the Model of Resolution Reduction [J]. Journal of Applied Sciences, 2001, 19(2): 127-130.