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应用科学学报 >

2018 , Vol. 36 >Issue 2: 278 - 286

DOI: https://doi.org/10.3969/j.issn.0255-8297.2018.02.007

多媒体信息安全专刊

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

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  • 1. 北京印刷学院 高端印刷装备信号与信息处理北京市重点实验室, 北京 100026;
    2. 北京交通大学 电子信息工程学院, 北京 100044

收稿日期: 2018-02-01

  网络出版日期: 2018-03-31

基金资助

国家自然科学基金“青年基金”（No.61702034）；北京市教委面上项目基金（No.KM201510015010）资助

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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

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摘要

提出了一种H.264至HEVC视频转码重压缩检测的新算法.基于HEVC编码标准中的一个新特性—–PU划分模式，利用直方图统计所有GOP的第1个P帧中各PU尺寸占据的8×8块数目，并将此作为视频的分类特征送入SVM进行判别分类.实验结果表明，所提出的算法能有效区分单压视频和转码视频，分类正确率达到90%以上.

关键词： 视频取证; 转码; H.264; 重压缩; HEVC

本文引用格式

于丽芳, 张珍珍, 杨贤, 李赵红 . 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[J]. 应用科学学报, 2018 , 36(2) : 278 -286 . DOI: 10.3969/j.issn.0255-8297.2018.02.007

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

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