Forensic of video object removal tamper based on 3D dual-stream network
In order to solve the problems of inaccurate temporal detection and location of the object removal tampered video， a video tamper forensics method based on 3D dual-stream network was proposed.Firstly， the spatial rich model （SRM） layer was used to extract the high-frequency information from video fr...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2021-12-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2021226/ |
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| author | Lizhi XIONG Mengqi CAO Zhangjie FU |
| author_facet | Lizhi XIONG Mengqi CAO Zhangjie FU |
| author_sort | Lizhi XIONG |
| collection | DOAJ |
| description | In order to solve the problems of inaccurate temporal detection and location of the object removal tampered video， a video tamper forensics method based on 3D dual-stream network was proposed.Firstly， the spatial rich model （SRM） layer was used to extract the high-frequency information from video frames.Secondly， the improved 3D convolution （C3D） network was used as the feature extractor of the dual-stream network to extract the high-frequency information and low-frequency information from the high-frequency frame and the original video frame respectively.Finally， through compact bilinear pooling （CBP） layer， two sets of different feature vectors were fused into one set of feature vectors for classification prediction.The experimental results demonstrate that the classification accuracy of the proposed method in all video frames has an advantage in SYSU-OBJFORG dataset， which makes the temporal detection and location of object removal tampered video more accurate. |
| format | Article |
| id | doaj-art-f5742fb47e514b3e8a6548b66daf57c7 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2021-12-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-f5742fb47e514b3e8a6548b66daf57c72025-01-14T07:23:24ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2021-12-014220221159747010Forensic of video object removal tamper based on 3D dual-stream networkLizhi XIONGMengqi CAOZhangjie FUIn order to solve the problems of inaccurate temporal detection and location of the object removal tampered video， a video tamper forensics method based on 3D dual-stream network was proposed.Firstly， the spatial rich model （SRM） layer was used to extract the high-frequency information from video frames.Secondly， the improved 3D convolution （C3D） network was used as the feature extractor of the dual-stream network to extract the high-frequency information and low-frequency information from the high-frequency frame and the original video frame respectively.Finally， through compact bilinear pooling （CBP） layer， two sets of different feature vectors were fused into one set of feature vectors for classification prediction.The experimental results demonstrate that the classification accuracy of the proposed method in all video frames has an advantage in SYSU-OBJFORG dataset， which makes the temporal detection and location of object removal tampered video more accurate.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2021226/object removal tamper detectionvideo passive forensics3D convolutiondual-stream networkcompact bi-linear pooling |
| spellingShingle | Lizhi XIONG Mengqi CAO Zhangjie FU Forensic of video object removal tamper based on 3D dual-stream network Tongxin xuebao object removal tamper detection video passive forensics 3D convolution dual-stream network compact bi-linear pooling |
| title | Forensic of video object removal tamper based on 3D dual-stream network |
| title_full | Forensic of video object removal tamper based on 3D dual-stream network |
| title_fullStr | Forensic of video object removal tamper based on 3D dual-stream network |
| title_full_unstemmed | Forensic of video object removal tamper based on 3D dual-stream network |
| title_short | Forensic of video object removal tamper based on 3D dual-stream network |
| title_sort | forensic of video object removal tamper based on 3d dual stream network |
| topic | object removal tamper detection video passive forensics 3D convolution dual-stream network compact bi-linear pooling |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2021226/ |
| work_keys_str_mv | AT lizhixiong forensicofvideoobjectremovaltamperbasedon3ddualstreamnetwork AT mengqicao forensicofvideoobjectremovaltamperbasedon3ddualstreamnetwork AT zhangjiefu forensicofvideoobjectremovaltamperbasedon3ddualstreamnetwork |