H.264/AVC Video Steganalysis Algorithm Based on Motion Vector Abnormal Correlation

WANG Li-na; WANG Min-jie; ZHAI Li-ming; REN Yan-zhen

doi:10.3969/j.issn.0372-2112.2014.08.001

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H.264/AVC Video Steganalysis Algorithm Based on Motion Vector Abnormal Correlation

更新时间：2025-07-16

- H.264/AVC Video Steganalysis Algorithm Based on Motion Vector Abnormal Correlation
- Acta Electronica Sinica Vol. 42, Issue 8, Pages: 1457-1464(2014)
- 作者机构：
  
  1. 武汉大学空天信息安全与可信计算教育部重点实验室,湖北,武汉,430072
  2. 武汉大学计算机学院,湖北,武汉,430072
  3. 武汉大学空天信息安全与可信计算教育部重点实验室,湖北,武汉,430072
  4. 武汉大学计算机学院,湖北,武汉,430072
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China (No.61373169, No.61272453, No.61103219);Ph.D. Programs Foundation of Ministry of Education of China Priority Development Fields (No.20110141130006)
- DOI：10.3969/j.issn.0372-2112.2014.08.001
  CLC： TP391
- Published：2014
- 稿件说明：
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WANG Li-na, WANG Min-jie, ZHAI Li-ming, et al. H.264/AVC Video Steganalysis Algorithm Based on Motion Vector Abnormal Correlation[J]. Acta Electronica Sinica, 2014, 42(8): 1457-1464.
DOI：

WANG Li-na, WANG Min-jie, ZHAI Li-ming, et al. H.264/AVC Video Steganalysis Algorithm Based on Motion Vector Abnormal Correlation[J]. Acta Electronica Sinica, 2014, 42(8): 1457-1464. DOI： 10.3969/j.issn.0372-2112.2014.08.001.

摘要

视频隐写分析是信息隐藏领域一个重要的研究方面，如何在格式复杂的压缩码流中搜寻运动矢量（Motion Vector，MV）中所留下的隐藏痕迹并设计隐写分析方法成为当前的研究热点之一.视频中成像设备和拍摄对象都具有运动相似性，使得H.264视频中基于块的运动估计所生成的MV存在较强的邻域相关性，隐秘信息的嵌入将迫使MV相关性出现统计异常.本文提出了一种基于共生频率异常的MV相关性度量方法，并在此基础之上结合H.264中与MV有关的编码技术，设计了基于相关性异常的H.264视频MV隐写分析算法.在隐写分析检测和性能测试中表明，本文提出的方法能够针对H.264视频MV隐藏实现有效检测，具有检测率高、检测速度快的特点.

Abstract

Video steganalysis has become an important research direction of the information hiding.How to search for motion vector(MV)hidden traces in the compressed stream with various video formats and design an effective steganalysis algorithm are hotspots in current studying.Movement in the video can be divided into two groups:the imaging equipment movement and the movement of the subject.Due to the block-matching motion estimation in H.264

strong correlations among adjacent macroblock's MV are existed.However

MV-based information hiding will cause anomalies in the correlations between MV.This paper proposes a method of correlation measurement based on anomalous co-occurrence frequency between MV

and on this basis

combined with H.264 coding technology related to MV

designs a steganalysis algorithm for H.264 video.Experimental results demonstrate that the proposed method has the advantages of high speed

and can be used to effectively detect MV-based steganography in the H.264 video.

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