Video tamper detection method based on nonnegative tensor factorization
The authenticity and integrity of video authentication is one of the important contents in information security field.A video tampering detection method based on non-negative tensor decomposition was proposed for video inter-frame tampering.First of all,spectral feature of video frame was extracted...
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| Format: | Article |
| Language: | English |
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POSTS&TELECOM PRESS Co., LTD
2017-06-01
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| Series: | 网络与信息安全学报 |
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| Online Access: | http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2017.00174 |
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| _version_ | 1841530208928137216 |
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| author | Xue-li ZHANG Tian-qiang HUANG Jing LIN Wei HUANG |
| author_facet | Xue-li ZHANG Tian-qiang HUANG Jing LIN Wei HUANG |
| author_sort | Xue-li ZHANG |
| collection | DOAJ |
| description | The authenticity and integrity of video authentication is one of the important contents in information security field.A video tampering detection method based on non-negative tensor decomposition was proposed for video inter-frame tampering.First of all,spectral feature of video frame was extracted quickly.The video was described by a three-dimensional tensor which created by the main compression feature.The tensor was factorized by Tucker non-negative decomposition method and then the time dimension matrix was extracted to calculate correlation.Finally,the tampering position was determined by using the Chebyshev’s inequality.Experiments show that this method can detect the video inter-frame tampering quickly and robustly. |
| format | Article |
| id | doaj-art-56c6d8efa62741749b287d18c5689e45 |
| institution | Kabale University |
| issn | 2096-109X |
| language | English |
| publishDate | 2017-06-01 |
| publisher | POSTS&TELECOM PRESS Co., LTD |
| record_format | Article |
| series | 网络与信息安全学报 |
| spelling | doaj-art-56c6d8efa62741749b287d18c5689e452025-01-15T03:05:50ZengPOSTS&TELECOM PRESS Co., LTD网络与信息安全学报2096-109X2017-06-013424959550704Video tamper detection method based on nonnegative tensor factorizationXue-li ZHANGTian-qiang HUANGJing LINWei HUANGThe authenticity and integrity of video authentication is one of the important contents in information security field.A video tampering detection method based on non-negative tensor decomposition was proposed for video inter-frame tampering.First of all,spectral feature of video frame was extracted quickly.The video was described by a three-dimensional tensor which created by the main compression feature.The tensor was factorized by Tucker non-negative decomposition method and then the time dimension matrix was extracted to calculate correlation.Finally,the tampering position was determined by using the Chebyshev’s inequality.Experiments show that this method can detect the video inter-frame tampering quickly and robustly.http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2017.00174video tampering detectionnonnegative tensor factorizationPearson correlation coefficientdiscrete cosine transformChebyshev’s inequality |
| spellingShingle | Xue-li ZHANG Tian-qiang HUANG Jing LIN Wei HUANG Video tamper detection method based on nonnegative tensor factorization 网络与信息安全学报 video tampering detection nonnegative tensor factorization Pearson correlation coefficient discrete cosine transform Chebyshev’s inequality |
| title | Video tamper detection method based on nonnegative tensor factorization |
| title_full | Video tamper detection method based on nonnegative tensor factorization |
| title_fullStr | Video tamper detection method based on nonnegative tensor factorization |
| title_full_unstemmed | Video tamper detection method based on nonnegative tensor factorization |
| title_short | Video tamper detection method based on nonnegative tensor factorization |
| title_sort | video tamper detection method based on nonnegative tensor factorization |
| topic | video tampering detection nonnegative tensor factorization Pearson correlation coefficient discrete cosine transform Chebyshev’s inequality |
| url | http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2017.00174 |
| work_keys_str_mv | AT xuelizhang videotamperdetectionmethodbasedonnonnegativetensorfactorization AT tianqianghuang videotamperdetectionmethodbasedonnonnegativetensorfactorization AT jinglin videotamperdetectionmethodbasedonnonnegativetensorfactorization AT weihuang videotamperdetectionmethodbasedonnonnegativetensorfactorization |