The InVID Plug-in: Web Video Verification on the Browser
| Main Authors: | Teyssou, Denis, Leung, Jean-Michel, Apostolidis, Evlampios, Apostolidis, Konstantinos, Papadopoulos, Symeon, Zampoglou, Markos, Papadopoulou, Olga, Mezaris, Vasileios |
|---|---|
| Format: | Proceeding Journal |
| Terbitan: |
, 2017
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| Subjects: | |
| Online Access: |
https://zenodo.org/record/1051260 |
| ctrlnum |
1051260 |
|---|---|
| fullrecord |
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<dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><creator>Teyssou, Denis</creator><creator>Leung, Jean-Michel</creator><creator>Apostolidis, Evlampios</creator><creator>Apostolidis, Konstantinos</creator><creator>Papadopoulos, Symeon</creator><creator>Zampoglou, Markos</creator><creator>Papadopoulou, Olga</creator><creator>Mezaris, Vasileios</creator><date>2017-10-27</date><description>This paper presents a novel open-source browser plug-in that aims at supporting journalists and news professionals in their efforts to verify user-generated video. The plug-in, which is the result of an iterative design thinking methodology, brings together a number of sophisticated multimedia analysis components and third party services, with the goal of speeding up established verification workflows and making it easy for journalists to access the results of different services that were previously used as standalone tools. The tool has been downloaded several hundreds of times and is currently used by journalists worldwide, after being tested by Agence France Presse (AFP) and Deutsche Welle (DW) journalists and media researchers for a few months. The tool has already helped debunk a number of fake videos.</description><identifier>https://zenodo.org/record/1051260</identifier><identifier>10.1145/3132384.3132387</identifier><identifier>oai:zenodo.org:1051260</identifier><relation>info:eu-repo/grantAgreement/EC/H2020/687786/</relation><relation>url:https://zenodo.org/communities/invid-h2020</relation><rights>info:eu-repo/semantics/openAccess</rights><rights>https://creativecommons.org/licenses/by/4.0/legalcode</rights><subject>Video verification</subject><subject>User-generated content</subject><subject>Reverse video search</subject><subject>Forensics</subject><subject>Keyframe selection</subject><subject>Multimedia verification</subject><title>The InVID Plug-in: Web Video Verification on the Browser</title><type>Journal:Proceeding</type><type>Journal:Proceeding</type><recordID>1051260</recordID></dc>
|
| format |
Journal:Proceeding Journal Journal:Journal |
| author |
Teyssou, Denis Leung, Jean-Michel Apostolidis, Evlampios Apostolidis, Konstantinos Papadopoulos, Symeon Zampoglou, Markos Papadopoulou, Olga Mezaris, Vasileios |
| title |
The InVID Plug-in: Web Video Verification on the Browser |
| publishDate |
2017 |
| topic |
Video verification User-generated content Reverse video search Forensics Keyframe selection Multimedia verification |
| url |
https://zenodo.org/record/1051260 |
| contents |
This paper presents a novel open-source browser plug-in that aims at supporting journalists and news professionals in their efforts to verify user-generated video. The plug-in, which is the result of an iterative design thinking methodology, brings together a number of sophisticated multimedia analysis components and third party services, with the goal of speeding up established verification workflows and making it easy for journalists to access the results of different services that were previously used as standalone tools. The tool has been downloaded several hundreds of times and is currently used by journalists worldwide, after being tested by Agence France Presse (AFP) and Deutsche Welle (DW) journalists and media researchers for a few months. The tool has already helped debunk a number of fake videos. |
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IOS16997.1051260 |
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ZAIN Publications |
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7213 |
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library:special library |
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Cognizance Journal of Multidisciplinary Studies |
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5267 |
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Cognizance Journal of Multidisciplinary Studies |
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16997 |
| subject_area |
Multidisciplinary |
| city |
Stockholm |
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INTERNASIONAL |
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1 |
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IOS16997 |
| first_indexed |
2022-06-06T04:25:02Z |
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2022-06-06T04:25:02Z |
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dc |
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1734902010630635520 |
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17.607244 |