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www.invid-project.eu
In Video Veritas  Verification of Social Media
Video Content for the News Industry
Evlampios Apostolidis, CERTH-ITI
Fake news based on video reuse and how to deal with
it: video fragmentation and reverse image search
Thessaloniki, June 2018
 How does this fake work?
 A previously existing video is reused under a different and irrelevant
context, aiming to deliberately mislead the viewers about a fact/event
Fake news based on video reuse
www.invid-project.eu
 How does this fake work?
 A previously existing video is reused under a different and irrelevant
context, aiming to deliberately mislead the viewers about a fact/event
Fake news based on video reuse
19/3/2017; Claim: Migrant seeking free
healthcare in a public hospital in France
www.invid-project.eu
 How does this fake work?
 A previously existing video is reused under a different and irrelevant
context, aiming to deliberately mislead the viewers about a fact/event
Fake news based on video reuse
19/3/2017; Claim: Migrant seeking free
healthcare in a public hospital in France
26/2/2017; Claim: Drunk patient
in a hospital in Novgorod, Russia
www.invid-project.eu
 How journalists deal with this kind of fake news?
 Try to find previous occurences of the video on the Web
Dealing with this type of fakes
www.invid-project.eu
 How journalists deal with this kind of fake news?
 Try to find previous occurences of the video on the Web
 What processes/tools do they follow/use for performing reverse
video search?
Dealing with this type of fakes
www.invid-project.eu
 How journalists deal with this kind of fake news?
 Try to find previous occurences of the video on the Web
 What processes/tools do they follow/use for performing reverse
video search?
 Take screenshots of the video and perform reverse search of these
screenshots with the help of the Google Images engine
Dealing with this type of fakes
www.invid-project.eu
 How journalists deal with this kind of fake news?
 Try to find previous occurences of the video on the Web
 What processes/tools do they follow/use for performing reverse
video search?
 Use of search-engine-based web applications or plug-ins, such as TinEye1
and RevEye2 that facilitate the reverse search of images related to the video
Dealing with this type of fakes
www.invid-project.eu
1. https://tineye.com/ and https://goo.gl/G5Rpu9
2. https://goo.gl/ZRHTDH
 How journalists deal with this kind of fake news?
 Try to find previous occurences of the video on the Web
 What processes/tools do they follow/use for performing reverse
video search?
 Use of web applications that allow reverse search of videos based on a
(limited) set of video thumbnails, such as the YouTube DataViewer1 and the
Custom Reverse Image Search2
Dealing with this type of fakes
www.invid-project.eu
1. https://citizenevidence.amnestyusa.org/
2. https://inteltechniques.com/osint/reverse.video.html
 How journalists deal with this kind of fake news?
 Try to find previous occurences of the video on the Web
 What processes/tools do they follow/use for performing reverse
video search?
 Time-consuming and cumbersome processes that:
 either involve manual generation and uploading of video screenshots
 or rely on the use of a limited set of video thumbnails
Dealing with this type of fakes
www.invid-project.eu
 Interactive tool for reverse video search on the Web
 Time-efficient process that requires minimum manual
intervention
 Fine-grained search at the video-fragment-level, through:
 segmentation of the video into visually coherent fragments
 extraction of representative keyframes for each video fragment
 reverse search of these keyframes via the Google search engine
The InVID solution
www.invid-project.eu
 User-generated videos (UGVs) are captured without interruption
using a single camera, thus, being single-shot videos
 Algorithms for shot boundary detection fail to reveal information
about the structure of these videos
 A more fine-grained segmentation into sub-shots, is needed!
Video fragmentation & keyframe selection
www.invid-project.eu
 The InVID approach
 The visual content of each frame is represented with the help of a 2D
Discrete Cosine Transform
 Video fragmentation into sub-shots is performed by assessing the visual
resemblance of neighboring frames using the cosine similarity
 The algorithm indicates both sub-shots with minor or no activity, and sub-
shots with gradually, but consistently, changing visual content
Video fragmentation & keyframe selection
 As representative keyframe:
 for the former type of sub-shots the
middle frame is selected
 for the latter type of sub-shots the
frame with the most pronounced
change of visual content is selected
 The analysis takes approx. 3% of the
videos duration (being more than 30
faster than real-time processing)
www.invid-project.eu
The reverse video search tool
 Available at: http://multimedia3.iti.gr/video_fragmentation/
service/start.html
 Allows the analysis of both
online and locally stored videos
 Supported platforms: YouTube,
Facebook, Twitter, Instagram,
Vimeo, LiveLeak, DailyMotion and
Dropbox
 Supported video formats: mp4,
webm, avi, mov, wmv, ogv, mpg,
flv, mkv
www.invid-project.eu
The reverse video search tool
 The user can monitor the progress of the analysis, or close the
browser and be notified (by e-mail) when the results are ready
www.invid-project.eu
The reverse video search tool
 After the analysis ends, the user gets the set of extracted
keyframes and can perform reverse search by left or right
clicking on any of them
www.invid-project.eu
Thank you for your attention!
Any questions?
www.invid-project.eu
In Video Veritas!

More Related Content

Presentation of the InVID tool for video fragmentation and keyframe-based reverse video search

  • 1. www.invid-project.eu In Video Veritas Verification of Social Media Video Content for the News Industry Evlampios Apostolidis, CERTH-ITI Fake news based on video reuse and how to deal with it: video fragmentation and reverse image search Thessaloniki, June 2018
  • 2. How does this fake work? A previously existing video is reused under a different and irrelevant context, aiming to deliberately mislead the viewers about a fact/event Fake news based on video reuse www.invid-project.eu
  • 3. How does this fake work? A previously existing video is reused under a different and irrelevant context, aiming to deliberately mislead the viewers about a fact/event Fake news based on video reuse 19/3/2017; Claim: Migrant seeking free healthcare in a public hospital in France www.invid-project.eu
  • 4. How does this fake work? A previously existing video is reused under a different and irrelevant context, aiming to deliberately mislead the viewers about a fact/event Fake news based on video reuse 19/3/2017; Claim: Migrant seeking free healthcare in a public hospital in France 26/2/2017; Claim: Drunk patient in a hospital in Novgorod, Russia www.invid-project.eu
  • 5. How journalists deal with this kind of fake news? Try to find previous occurences of the video on the Web Dealing with this type of fakes www.invid-project.eu
  • 6. How journalists deal with this kind of fake news? Try to find previous occurences of the video on the Web What processes/tools do they follow/use for performing reverse video search? Dealing with this type of fakes www.invid-project.eu
  • 7. How journalists deal with this kind of fake news? Try to find previous occurences of the video on the Web What processes/tools do they follow/use for performing reverse video search? Take screenshots of the video and perform reverse search of these screenshots with the help of the Google Images engine Dealing with this type of fakes www.invid-project.eu
  • 8. How journalists deal with this kind of fake news? Try to find previous occurences of the video on the Web What processes/tools do they follow/use for performing reverse video search? Use of search-engine-based web applications or plug-ins, such as TinEye1 and RevEye2 that facilitate the reverse search of images related to the video Dealing with this type of fakes www.invid-project.eu 1. https://tineye.com/ and https://goo.gl/G5Rpu9 2. https://goo.gl/ZRHTDH
  • 9. How journalists deal with this kind of fake news? Try to find previous occurences of the video on the Web What processes/tools do they follow/use for performing reverse video search? Use of web applications that allow reverse search of videos based on a (limited) set of video thumbnails, such as the YouTube DataViewer1 and the Custom Reverse Image Search2 Dealing with this type of fakes www.invid-project.eu 1. https://citizenevidence.amnestyusa.org/ 2. https://inteltechniques.com/osint/reverse.video.html
  • 10. How journalists deal with this kind of fake news? Try to find previous occurences of the video on the Web What processes/tools do they follow/use for performing reverse video search? Time-consuming and cumbersome processes that: either involve manual generation and uploading of video screenshots or rely on the use of a limited set of video thumbnails Dealing with this type of fakes www.invid-project.eu
  • 11. Interactive tool for reverse video search on the Web Time-efficient process that requires minimum manual intervention Fine-grained search at the video-fragment-level, through: segmentation of the video into visually coherent fragments extraction of representative keyframes for each video fragment reverse search of these keyframes via the Google search engine The InVID solution www.invid-project.eu
  • 12. User-generated videos (UGVs) are captured without interruption using a single camera, thus, being single-shot videos Algorithms for shot boundary detection fail to reveal information about the structure of these videos A more fine-grained segmentation into sub-shots, is needed! Video fragmentation & keyframe selection www.invid-project.eu
  • 13. The InVID approach The visual content of each frame is represented with the help of a 2D Discrete Cosine Transform Video fragmentation into sub-shots is performed by assessing the visual resemblance of neighboring frames using the cosine similarity The algorithm indicates both sub-shots with minor or no activity, and sub- shots with gradually, but consistently, changing visual content Video fragmentation & keyframe selection As representative keyframe: for the former type of sub-shots the middle frame is selected for the latter type of sub-shots the frame with the most pronounced change of visual content is selected The analysis takes approx. 3% of the videos duration (being more than 30 faster than real-time processing) www.invid-project.eu
  • 14. The reverse video search tool Available at: http://multimedia3.iti.gr/video_fragmentation/ service/start.html Allows the analysis of both online and locally stored videos Supported platforms: YouTube, Facebook, Twitter, Instagram, Vimeo, LiveLeak, DailyMotion and Dropbox Supported video formats: mp4, webm, avi, mov, wmv, ogv, mpg, flv, mkv www.invid-project.eu
  • 15. The reverse video search tool The user can monitor the progress of the analysis, or close the browser and be notified (by e-mail) when the results are ready www.invid-project.eu
  • 16. The reverse video search tool After the analysis ends, the user gets the set of extracted keyframes and can perform reverse search by left or right clicking on any of them www.invid-project.eu
  • 17. Thank you for your attention! Any questions? www.invid-project.eu In Video Veritas!