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基于颜色特征的同源视频复制-粘贴篡改检测
引用本文:庄景晖,;黄添强.基于颜色特征的同源视频复制-粘贴篡改检测[J].漳州师院学报,2014(3):44-52.
作者姓名:庄景晖  ;黄添强
作者单位:[1]漳州职业技术学院计算机工程系,福建漳州363000; [2]福建师范大学数学与计算机科学学院,福建福州350007; [3]福建师范大学网络安全与密码技术福建省高校重点实验室,福建福州350007
基金项目:国家自然科学基金(61070062); 福建省高校产学合作科技重大项目(2012H6006); 福建省高校服务海西建设重点项目(2008HX200941-4-5); 福建省高等学校新世纪优秀人才支持计划(JAI1038); 福建省科技厅K类基金项目(JK2011007); 福建省教育厅A类基金项目(JA10064)
摘    要:本文针对同源视频的复制-粘贴篡改方式,提出了一种基于颜色特征的视频篡改检测方法,能够定位篡改位置并修复原视频.首先,计算各帧的颜色直方图,提取颜色特征并字典排序,计算邻近帧的帧间相似度获得匹配帧对;其次,针对全局颜色直方图不能表示颜色的空间分布信息,提取匹配帧对的彩色边缘特征进行复检;最后利用SIFT特征点的匹配精确定位篡改位置,并恢复原视频.实验表明,本文提供的方法在SULFA数据库视频检测上具有100%的准确率和召回率.

关 键 词:视频篡改  同源视频  颜色直方图  彩色边缘

Homologous Video Copy-Move Forgery Detection Based on Color Features
Institution:ZHUANG Jin-hui , HUANG Tian-qiang ( 1.Department of Computer Engineering, Zhangzhou Institute of Technology, Zhangzhou, Fujian 363000, China; 2.School of Mathematics and Computer Science, Fujian Normal University, Fuzhou, Fujian 350007, China; 3.Key Laboratory of Network Security and Cryptography, Fujian Normal University, Fuzhou, Fujian 350007, China)
Abstract:In view of the homologous video copy-move forgery, this paper proposes a video forgery detection way based on color features that can locate the forgery location and repair the original video. Firstly, calculating the color histogram of each frame, extracting color feature and sort in alphabetical order, computing similarity between neighboring frame for matching frame. Secondly, in view of the global color histogram unable to say the color spatial distribution of information, extracting the color edge feature of the matching frame and re-inspecting. Finally, using the SIFT feature points matching to accurately position the forgery location, and restoring the original video. The experimental results show that the provided method in the paper has 100% accuracy and recall rate on the video detection of SULFA database.
Keywords:video tampering  homologous video  color histogram  color edge
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