摘要
针对视频中运动目标从固定背景中移除的情况,提出一种基于能量可疑度计算的视频篡改检测方法,能定位时域和空域上的篡改位置.首先,计算视频各帧能量可疑度,提取时域上的篡改帧序列,再通过帧差法计算可疑运动点图像,提取空域上的可疑运动图像块,根据能量可疑度排除干扰图像块,确定目标移除块,从而实现空域上的篡改定位.实验结果表明,该方法能有效地检测出在固定背景下运动目标是否被移除.
In recent years,with the rapid development of digital multimedia technology,lots of image and video editing software have been widely used which make video become easier to be tampered,so the video tamper detection technology has become a hot research topic in information security field.There are many and varied ways of video tampering,and this paper is intended for removing athletic goal from fixed background in the video.A digital video forgery detection method is proposed based on energy suspicious degree calculation,which can track the moving obj ects by calculating suspicious moving point image,and can locate the temporal and spatial j uggled position.Videos are made of“frames”,and the continuity is readily apparent.Therefore,we could transfer video into a series of image in the video tamper detection.The energy suspicious degree is a good representative character which reflects the pro-portion of the low energy and high energy in each frame.When a moving target is removed from a section of the video image sequence,the grey value,low frequency energy and high frequency energy are bound to change which can affect the energy suspicious degree in the removed area corresponding to the image frame,destroy the continuity and consistency between two adjacent frames,and such change can be used to locate the tamper frame sequences on the time domain.When a goal is deleted,the frame tampering-repair technology mainly uses some patching algorithms to fill the deleted region.The moving obj ects can be tracked by calculating the suspicious moving point image because of the gray changes in repair area.Measurement procedures are as follow:firstly,extract the j uggled frame sequence on the time domain by calculating energy suspicious degree of each frame.Secondly,use the frame differential method to calculate the suspicious moving point image,after that,a statistical method was preferred to extract the spatial suspicious motion image blocks.Finally,set the spatial target removal block as a removing athletic goal and eliminate the spatial interference suspicious blocks by calculating the average of energy suspicious degree in each spatial suspicious block while the spatial tamper location is positioned.The results show that this method can effectively detect whether the moving target was removed from the fixed background and orient the temporal and spatial tamper location accurately.
出处
《南京大学学报(自然科学版)》
CAS
CSCD
北大核心
2014年第1期61-71,共11页
Journal of Nanjing University(Natural Science)
基金
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)
福建省科学厅K类基金项目(JK2011007)
福建省教育厅A类基金项目(JA10064)
关键词
视频篡改
时空域
能量可疑度
可疑运动点图像
video tampering
temporal and spatial domain
energy suspicious degree
suspicious moving point image
video tampering
temporal and spatial domain
energy suspicious degree
suspicious moving point image