Development of a Video Tampering Dataset for Forensic Investigation
Highlights • Due to the limited resources in the statistics of available digital video datasets, a new dataset of video tampering is proposed. • Three different techniques of videos tampering are considered in this work, one of these techniques (Splicing) is never been used in the existing dataset....
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| Published in | Forensic science international Vol. 266; pp. 565 - 572 |
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| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
Ireland
Elsevier B.V
01.09.2016
Elsevier Limited |
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| Online Access | Get full text |
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| Abstract | Highlights • Due to the limited resources in the statistics of available digital video datasets, a new dataset of video tampering is proposed. • Three different techniques of videos tampering are considered in this work, one of these techniques (Splicing) is never been used in the existing dataset. • Designed and developed a ground truth of this dataset, which is aimed to provide complete information for each type of video tampering. • This work provides a great opportunity to the researchers in video tampering area to evaluate their methods |
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| AbstractList | Highlights • Due to the limited resources in the statistics of available digital video datasets, a new dataset of video tampering is proposed. • Three different techniques of videos tampering are considered in this work, one of these techniques (Splicing) is never been used in the existing dataset. • Designed and developed a ground truth of this dataset, which is aimed to provide complete information for each type of video tampering. • This work provides a great opportunity to the researchers in video tampering area to evaluate their methods Due to the limited resources in digital video datasets, a new dataset of video tampering is proposed.Three different techniques of videos tampering are considered in this work, one of these techniques (splicing) is never been used in the existing dataset.This work provides a great opportunity to the researchers in video tampering area to evaluate their methods by designing and developing a ground truth Forgery is an act of modifying a document, product, image or video, among other media. Video tampering detection research requires an inclusive database of video modification. This paper aims to discuss a comprehensive proposal to create a dataset composed of modified videos for forensic investigation, in order to standardize existing techniques for detecting video tampering. The primary purpose of developing and designing this new video library is for usage in video forensics, which can be consciously associated with reliable verification using dynamic and static camera recognition. To the best of the author⿿s knowledge, there exists no similar library among the research community. Videos were sourced from YouTube and by exploring social networking sites extensively by observing posted videos and rating their feedback. The video tampering dataset (VTD) comprises a total of 33 videos, divided among three categories in video tampering: (1) copy⿿move, (2) splicing, and (3) swapping-frames. Compared to existing datasets, this is a higher number of tampered videos, and with longer durations. The duration of every video is 16s, with a 1280ÿ720 resolution, and a frame rate of 30 frames per second. Moreover, all videos possess the same formatting quality (720pHD.avi). Both temporal and spatial video features were considered carefully during selection of the videos, and there exists complete information related to the doctored regions in every modified video in the VTD dataset. This database has been made publically available for research on splicing, Swapping frames, and copy⿿move tampering, and, as such, various video tampering detection issues with ground truth. The database has been utilised by many international researchers and groups of researchers. Forgery is an act of modifying a document, product, image or video, among other media. Video tampering detection research requires an inclusive database of video modification. This paper aims to discuss a comprehensive proposal to create a dataset composed of modified videos for forensic investigation, in order to standardize existing techniques for detecting video tampering. The primary purpose of developing and designing this new video library is for usage in video forensics, which can be consciously associated with reliable verification using dynamic and static camera recognition. To the best of the author's knowledge, there exists no similar library among the research community. Videos were sourced from YouTube and by exploring social networking sites extensively by observing posted videos and rating their feedback. The video tampering dataset (VTD) comprises a total of 33 videos, divided among three categories in video tampering: (1) copy-move, (2) splicing, and (3) swapping-frames. Compared to existing datasets, this is a higher number of tampered videos, and with longer durations. The duration of every video is 16s, with a 1280x720 resolution, and a frame rate of 30 frames per second. Moreover, all videos possess the same formatting quality (720pHD.avi). Both temporal and spatial video features were considered carefully during selection of the videos, and there exists complete information related to the doctored regions in every modified video in the VTD dataset. This database has been made publically available for research on splicing, Swapping frames, and copy-move tampering, and, as such, various video tampering detection issues with ground truth. The database has been utilised by many international researchers and groups of researchers. Forgery is an act of modifying a document, product, image or video, among other media. Video tampering detection research requires an inclusive database of video modification. This paper aims to discuss a comprehensive proposal to create a dataset composed of modified videos for forensic investigation, in order to standardize existing techniques for detecting video tampering. The primary purpose of developing and designing this new video library is for usage in video forensics, which can be consciously associated with reliable verification using dynamic and static camera recognition. To the best of the author's knowledge, there exists no similar library among the research community. Videos were sourced from YouTube and by exploring social networking sites extensively by observing posted videos and rating their feedback. The video tampering dataset (VTD) comprises a total of 33 videos, divided among three categories in video tampering: (1) copy-move, (2) splicing, and (3) swapping-frames. Compared to existing datasets, this is a higher number of tampered videos, and with longer durations. The duration of every video is 16s, with a 1280×720 resolution, and a frame rate of 30 frames per second. Moreover, all videos possess the same formatting quality (720p(HD).avi). Both temporal and spatial video features were considered carefully during selection of the videos, and there exists complete information related to the doctored regions in every modified video in the VTD dataset. This database has been made publically available for research on splicing, Swapping frames, and copy-move tampering, and, as such, various video tampering detection issues with ground truth. The database has been utilised by many international researchers and groups of researchers. Forgery is an act of modifying a document, product, image or video, among other media. Video tampering detection research requires an inclusive database of video modification. This paper aims to discuss a comprehensive proposal to create a dataset composed of modified videos for forensic investigation, in order to standardize existing techniques for detecting video tampering. The primary purpose of developing and designing this new video library is for usage in video forensics, which can be consciously associated with reliable verification using dynamic and static camera recognition. To the best of the author's knowledge, there exists no similar library among the research community. Videos were sourced from YouTube and by exploring social networking sites extensively by observing posted videos and rating their feedback. The video tampering dataset (VTD) comprises a total of 33 videos, divided among three categories in video tampering: (1) copy-move, (2) splicing, and (3) swapping-frames. Compared to existing datasets, this is a higher number of tampered videos, and with longer durations. The duration of every video is 16s, with a 1280720 resolution, and a frame rate of 30 frames per second. Moreover, all videos possess the same formatting quality (720pHD.avi). Both temporal and spatial video features were considered carefully during selection of the videos, and there exists complete information related to the doctored regions in every modified video in the VTD dataset. This database has been made publically available for research on splicing, Swapping frames, and copy-move tampering, and, as such, various video tampering detection issues with ground truth. The database has been utilised by many international researchers and groups of researchers. Forgery is an act of modifying a document, product, image or video, among other media. Video tampering detection research requires an inclusive database of video modification. This paper aims to discuss a comprehensive proposal to create a dataset composed of modified videos for forensic investigation, in order to standardize existing techniques for detecting video tampering. The primary purpose of developing and designing this new video library is for usage in video forensics, which can be consciously associated with reliable verification using dynamic and static camera recognition. To the best of the author⿿s knowledge, there exists no similar library among the research community. Videos were sourced from YouTube and by exploring social networking sites extensively by observing posted videos and rating their feedback. The video tampering dataset (VTD) comprises a total of 33 videos, divided among three categories in video tampering: (1) copy⿿move, (2) splicing, and (3) swapping-frames. Compared to existing datasets, this is a higher number of tampered videos, and with longer durations. The duration of every video is 16s, with a 1280ÿ720 resolution, and a frame rate of 30 frames per second. Moreover, all videos possess the same formatting quality (720pHD.avi). Both temporal and spatial video features were considered carefully during selection of the videos, and there exists complete information related to the doctored regions in every modified video in the VTD dataset. This database has been made publically available for research on splicing, Swapping frames, and copy⿿move tampering, and, as such, various video tampering detection issues with ground truth. The database has been utilised by many international researchers and groups of researchers. |
| Author | Sulong, Ghazali Ismael Al-Sanjary, Omar Ahmed, Ahmed Abdullah |
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| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/27574113$$D View this record in MEDLINE/PubMed |
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| Cites_doi | 10.1109/AVSS.2010.87 10.1142/S0218001412500176 10.1080/15567281.2010.531500 10.1109/BWCCA.2012.47 10.1109/MMSP.2012.6343421 10.1145/1597817.1597826 10.1109/ChinaSIP.2013.6625374 10.1007/s11042-014-1915-4 10.1007/s11042-006-0074-7 10.4236/jcc.2014.24008 10.1145/1631081.1631093 10.1109/CISP.2013.6745286 |
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| Keywords | video investigation reference forgery copy-move VTD splicing swapping-frame Forgery Splicing Swapping-frame Video investigation Copy⿿move Copy–move |
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| Snippet | Highlights • Due to the limited resources in the statistics of available digital video datasets, a new dataset of video tampering is proposed. • Three... Due to the limited resources in digital video datasets, a new dataset of video tampering is proposed.Three different techniques of videos tampering are... Forgery is an act of modifying a document, product, image or video, among other media. Video tampering detection research requires an inclusive database of... |
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| SubjectTerms | Algorithms Categories Computer forensics Copy⿿move Data processing Datasets Digital cameras Digital video Feedback Forensic engineering Forensic science Forensic sciences Forgery Frames Frames (data processing) Frames per second Ground truth Image databases Image detection Libraries Pathology Proposals Researchers Social networks Social organization Splicing Studies Swapping-frame Video data Video investigation VTD |
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| Title | Development of a Video Tampering Dataset for Forensic Investigation |
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