Special Issue: Information Security of Multimedia Contents

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

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  • 1. Beijing Key Laboratory of Signal and Information Processing for High-end Printing Equipments, Beijing Institute of Graphic Communication, Beijing 100026, China;
    2. School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China

Received date: 2018-02-01

  Online published: 2018-03-31

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%.

Cite this article

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 . DOI: 10.3969/j.issn.0255-8297.2018.02.007

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