Video tampering detection algorithm based on spatial constraint and gradient structure information
The traditional video passive forensics method using only the principle of similarity between adjacent frames will cause a lot of false detection for the video with severe motion.Aiming at this problem,a video tamper detection method combining spatial constraints and gradient structure information w...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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POSTS&TELECOM PRESS Co., LTD
2019-10-01
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| Series: | 网络与信息安全学报 |
| Subjects: | |
| Online Access: | http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2019052 |
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| _version_ | 1841530065686364160 |
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| author | Han PU Tianqiang HUANG Bin WENG Hui XIAO Wei HUANG |
| author_facet | Han PU Tianqiang HUANG Bin WENG Hui XIAO Wei HUANG |
| author_sort | Han PU |
| collection | DOAJ |
| description | The traditional video passive forensics method using only the principle of similarity between adjacent frames will cause a lot of false detection for the video with severe motion.Aiming at this problem,a video tamper detection method combining spatial constraints and gradient structure information was proposed.Firstly,the low motion region and the high texture region were extracted by using spatial constraint criteria.The two regions were merged to obtain the robust quantitative correlation rich regions for extracting video optimal similarity features.Then improving the extraction and description methods of the original features,and using the similarity of the gradient structure in accordance with the characteristics of the human visual system to calculate the spatial constraint correlation value.Finally,the tampering points were located by the Chebyshev inequality.Experiments show that the proposed algorithm has lower false detection rate and higher accuracy. |
| format | Article |
| id | doaj-art-81d33342f85f433ea9b6e22dea802ee7 |
| institution | Kabale University |
| issn | 2096-109X |
| language | English |
| publishDate | 2019-10-01 |
| publisher | POSTS&TELECOM PRESS Co., LTD |
| record_format | Article |
| series | 网络与信息安全学报 |
| spelling | doaj-art-81d33342f85f433ea9b6e22dea802ee72025-01-15T03:13:44ZengPOSTS&TELECOM PRESS Co., LTD网络与信息安全学报2096-109X2019-10-015647959556657Video tampering detection algorithm based on spatial constraint and gradient structure informationHan PUTianqiang HUANGBin WENGHui XIAOWei HUANGThe traditional video passive forensics method using only the principle of similarity between adjacent frames will cause a lot of false detection for the video with severe motion.Aiming at this problem,a video tamper detection method combining spatial constraints and gradient structure information was proposed.Firstly,the low motion region and the high texture region were extracted by using spatial constraint criteria.The two regions were merged to obtain the robust quantitative correlation rich regions for extracting video optimal similarity features.Then improving the extraction and description methods of the original features,and using the similarity of the gradient structure in accordance with the characteristics of the human visual system to calculate the spatial constraint correlation value.Finally,the tampering points were located by the Chebyshev inequality.Experiments show that the proposed algorithm has lower false detection rate and higher accuracy.http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2019052spatial constraintsthe quantitative correlation rich regionsGSSIM（gradient structure similarity）videos with severe motion |
| spellingShingle | Han PU Tianqiang HUANG Bin WENG Hui XIAO Wei HUANG Video tampering detection algorithm based on spatial constraint and gradient structure information 网络与信息安全学报 spatial constraints the quantitative correlation rich regions GSSIM（gradient structure similarity） videos with severe motion |
| title | Video tampering detection algorithm based on spatial constraint and gradient structure information |
| title_full | Video tampering detection algorithm based on spatial constraint and gradient structure information |
| title_fullStr | Video tampering detection algorithm based on spatial constraint and gradient structure information |
| title_full_unstemmed | Video tampering detection algorithm based on spatial constraint and gradient structure information |
| title_short | Video tampering detection algorithm based on spatial constraint and gradient structure information |
| title_sort | video tampering detection algorithm based on spatial constraint and gradient structure information |
| topic | spatial constraints the quantitative correlation rich regions GSSIM（gradient structure similarity） videos with severe motion |
| url | http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2019052 |
| work_keys_str_mv | AT hanpu videotamperingdetectionalgorithmbasedonspatialconstraintandgradientstructureinformation AT tianqianghuang videotamperingdetectionalgorithmbasedonspatialconstraintandgradientstructureinformation AT binweng videotamperingdetectionalgorithmbasedonspatialconstraintandgradientstructureinformation AT huixiao videotamperingdetectionalgorithmbasedonspatialconstraintandgradientstructureinformation AT weihuang videotamperingdetectionalgorithmbasedonspatialconstraintandgradientstructureinformation |