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InVID

In Video Veritas – Verification of Social Media Video Content for the News Industry

Total Cost €

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EC-Contrib. €

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Partnership

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 InVID project word cloud

Explore the words cloud of the InVID project. It provides you a very rough idea of what is the project "InVID" about.

validation    wireless    breaking    broadband    lawsuits    austria    times    reputation    party    apa    reports    agencies    reputable    integration    verified    digital    streams    dw    illustrate    publishing    tools    permission    platforms    newsworthy    re    truth    spreads    social    reliability    readily    recordings    broadcasters    web    connectivity    news    lost    editing    ask    protecting    latin    verify    outlets    online    broadcast    saying    events    carefully    deception    welle    fakes    ease    wired    tested    break    falsehoods    distributing    sophisticated    platform    media    accuracy    ecosystem    integrate    publishers    pilot    newspapers    delivering    check    french    material    deutsche    press    pilots    afp    networks    electronic    newsroom    services    content    members    detect    struggling    tight    agency    rights    spread    output    budgets    tv    players    divert    trust    industry    possibilities    video    pure    veritas    fake    validated    invid    create    revolution    story    convergence    authenticate    reducing    customer    shared    qualified    cycles    rely    cleared    files   

Project "InVID" data sheet

The following table provides information about the project.

Coordinator
ETHNIKO KENTRO EREVNAS KAI TECHNOLOGIKIS ANAPTYXIS 

Organization address
address: CHARILAOU THERMI ROAD 6 KM
city: THERMI THESSALONIKI
postcode: 57001
website: www.certh.gr

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Greece [EL]
 Project website http://www.invid-project.eu/
 Total cost 3˙765˙706 €
 EC max contribution 3˙115˙737 € (83%)
 Programme 1. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT))
 Code Call H2020-ICT-2015
 Funding Scheme IA
 Starting year 2016
 Duration (year-month-day) from 2016-01-01   to  2018-12-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    ETHNIKO KENTRO EREVNAS KAI TECHNOLOGIKIS ANAPTYXIS EL (THERMI THESSALONIKI) coordinator 585˙000.00
2    MODUL TECHNOLOGY GMBH AT (WIEN) participant 388˙250.00
3    Condat AG DE (BERLIN) participant 362˙031.00
4    WEBLYZARD TECHNOLOGY GMBH AT (WIEN) participant 334˙687.00
5    UNIVERSIDAD DE LLEIDA ES (LLEIDA) participant 314˙112.00
6    DEUTSCHE WELLE DE (BONN) participant 311˙781.00
7    AGENCE FRANCE PRESSE FR (PARIS 02) participant 286˙693.00
8    APA-IT INFORMATIONS TECHNOLOGIE GMBH AT (WIEN) participant 274˙487.00
9    EXO MAKINA FR (PARIS) participant 258˙693.00

Map

 Project objective

In video veritas, if we divert the old Latin saying: In video, there is truth! The digital media revolution and the convergence of social media with broadband wired and wireless connectivity are bringing breaking news to online video platforms; and, news organisations delivering information by Web streams and TV broadcast often rely on user-generated recordings of breaking and developing news events shared by social media to illustrate the story. However, in video there is also deception. Access to increasingly sophisticated editing and content management tools, and the ease in which fake information spreads in electronic networks requires reputable news outlets to carefully verify third-party content before publishing it, reducing their ability to break news quickly while increasing costs in times of tight budgets. InVID will build a platform providing services to detect, authenticate and check the reliability and accuracy of newsworthy video files and video content spread via social media. This platform will enable novel newsroom applications for broadcasters, news agencies, web pure-players, newspapers and publishers to integrate social media content into their news output without struggling to know if they can trust the material or how they can reach the user to ask permission for re-use. It will ensure that verified and rights-cleared video content is readily available for integration into breaking and developing news reports. Validated by real customer pilots, InVID will help protecting the news industry from distributing fakes, falsehoods, lost reputation and ... lawsuits. The InVID platform and applications will be validated and qualified through several development and validation cycles. They will be pilot-tested by three leading institutions in the European news industry ecosystem: AFP (the French News Agency), DW (Deutsche Welle), and APA (the Austria Press Agency), and will create new exploitation possibilities for all consortium members.

 Deliverables

List of deliverables.
Project website and promotional material Websites, patent fillings, videos etc. 2019-07-26 10:27:29
Activities and outcome of the Pilots, first report Documents, reports 2019-07-26 10:27:29
Updated Data, quality and knowledge management plan Documents, reports 2019-07-26 10:27:29
Activities and outcome of the Pilots, second report Documents, reports 2019-07-26 10:27:29
InVID initial industrial requirements Documents, reports 2019-07-26 10:27:29
Data management plan Documents, reports 2019-07-26 10:27:29
Overview of UGC Copyright Management industry practices Documents, reports 2019-07-26 10:27:29
Quality and knowledge management plan Documents, reports 2019-07-26 10:27:29
Technology Roadmap Documents, reports 2019-07-26 10:27:29
Activities and outcome of the Pilots, final report Documents, reports 2019-07-26 10:27:29

Take a look to the deliverables list in detail:  detailed list of InVID deliverables.

 Publications

year authors and title journal last update
List of publications.
2018 Anastasia Moumtzidou, Stelios Andreadis, Foteini Markatopoulou, Damianos Galanopoulos, Ilias Gialampoukidis, Stefanos Vrochidis, Vasileios Mezaris, Ioannis Kompatsiaris, Ioannis Patras
VERGE IN VBS 2018
published pages: 444-450, ISSN: , DOI: 10.1007/978-3-319-73600-6_48
Proceedings of the 24th International Conference on Multimedia Modeling 2019-07-26
2017 Emanuele Sansone, Konstantinos Apostoldis, Nicola Conci, Giulia Boato, Vasileios Mezaris, F.G.B De Natale
Automatic synchronization of multi-user photo galleries
published pages: 1-1, ISSN: 1520-9210, DOI: 10.1109/TMM.2017.2655446
IEEE Transactions on Multimedia 19/6 2019-07-26
2017 Foteini Markatopoulou, Anastasia Moumtzidou, Damianos Galanopoulos, Konstantinos Avgerinakis, Stelios Andreadis, Ilias Gialampoukidis, Stavros Tachos, Stefanos Vrochidis, Vasileios Mezaris, Ioannis Kompatsiaris, Ioannis Patras
ITI-CERTH participation in TRECVID 2017
published pages: , ISSN: , DOI: 10.5281/zenodo.1183440
Proceedings of the TRECVID 2017 Workshop 2019-07-26
2018 Foteini Markatopoulou, Vasileios Mezaris, Ioannis Patras
Implicit and Explicit Concept Relations in Deep Neural Networks for Multi-Label Video/Image Annotation
published pages: 1-1, ISSN: 1051-8215, DOI: 10.1109/TCSVT.2018.2848458
IEEE Transactions on Circuits and Systems for Video Technology 2019-07-26
2018 Christina Boididou, Stuart E. Middleton, Zhiwei Jin, Symeon Papadopoulos, Duc-Tien Dang-Nguyen, Giulia Boato, Yiannis Kompatsiaris
Verifying information with multimedia content on twitter
published pages: 15545-15571, ISSN: 1380-7501, DOI: 10.1007/s11042-017-5132-9
Multimedia Tools and Applications 77/12 2019-07-26
2016 Ionescu, Bogdan; Mezaris, Vasileios; Tzelepis, Christos; Sebe, Nicu; Ma, Zhigang; Kompatsiaris, Ioannis; Yan, Shuicheng; Boato, Giulia
Event-based media processing and analysis: A survey of the literature
published pages: 3-19, ISSN: 0262-8856, DOI: 10.1016/j.imavis.2016.05.005
Image and Vision Computing 53 2019-07-26
2017 Markatopoulou, Foteini; Pittaras, Nikiforos; Mezaris, Vasileios; Patras, Ioannis
Comparison of Fine-tuning and Extension Strategies for Deep Convolutional Neural Networks
published pages: 102-114, ISSN: , DOI: 10.1007/978-3-319-51811-4_9
Proceedings of the 23rd International Conference on MultiMedia Modeling (MMM’17) 2019-07-26
2017 Lyndon Nixon, Svitlana Vakulenko, Mihai Lupu
Character-based Neural Embeddings for Tweet Clustering
published pages: , ISSN: , DOI: 10.5281/zenodo.582565
SocialNLP workshop at European Chapter of the Association for Computational Linguistics (EACL) 2017 2019-07-26
2018 Christina Boididou, Symeon Papadopoulos, Markos Zampoglou, Lazaros Apostolidis, Olga Papadopoulou, Yiannis Kompatsiaris
Detection and visualization of misleading content on Twitter
published pages: 71-86, ISSN: 2192-6611, DOI: 10.1007/s13735-017-0143-x
International Journal of Multimedia Information Retrieval 7/1 2019-07-26
2017 Patras, Ioannis; Kordopatis-Zilos, Giorgos; Kompatsiaris, Yiannis; Papadopoulos, Symeon
Near-Duplicate Video Retrieval by Aggregating Intermediate CNN Layers
published pages: 251-263, ISSN: , DOI: 10.1007/978-3-319-51811-4_21
Proceedings of the 23rd International Conference on MultiMedia Modeling (MMM’17) 2019-07-26
2016 Foteini Markatopoulou; Anastasia Moumtzidou; Damianos Galanopoulos; Theodoros Mironidis; Vagia Kaltsa; Anastasia Ioannidou; Spyridon Symeonidis; Konstantinos Avgerinakis; Stelios Andreadis; Ilias Gialampoukidis; Stefanos Vrochidis; Alexia Briassouli; Vasileios Mezaris; Ioannis Kompatsiaris; Ioannis Patras
ITI-CERTH participation in TRECVID 2016
published pages: , ISSN: , DOI: 10.5281/zenodo.200498
Proceedings of the TRECVID 2016 Workshop 2019-07-26
2017 Jochen, Spangenberg; Papadopoulos, Symeon; Zampoglou, Markos; Kompatsiaris, Yiannis
A Web-Based Service for Disturbing Image Detection
published pages: 438-441, ISSN: , DOI: 10.1007/978-3-319-51814-5_37
Proceedings of the 23rd International Conference on MultiMedia Modeling (MMM’17) 2019-07-26
2017 Mironidis, Theodoros; Kompatsiaris, Ioannis; Vrochidis, Stefanos; Andreadis, Stelios; Ioannidou, Anastasia; Gialampoukidis, Ilias; Moumtzidou, Anastasia; Galanopoulos, Damianos; Mezaris, Vasileios; Markatopoulou, Fotini; Patras, Ioannis
VERGE IN VBS 2017
published pages: 486-492, ISSN: , DOI: 10.1007/978-3-319-51814-5_46
Proceedings of the 23rd International Conference on MultiMedia Modeling (MMM’17) 2019-07-26
2018 Iakovidou, Chryssanthi; Zampoglou, Markos; Papadopoulos, Symeon; Kompatsiaris, Yannis
Content-aware Detection of JPEG Grid Inconsistencies for Intuitive Image Forensics
published pages: 155-170, ISSN: 1047-3203, DOI: 10.5281/zenodo.1246437
Journal of Visual Communication and Image Representation 2 2019-07-26
2018 Olga Papadopoulou, Markos Zampoglou, Symeon Papadopoulos, Ioannis Kompatsiaris
A corpus of debunked and verified user-generated videos
published pages: , ISSN: 1468-4527, DOI: 10.1108/OIR-03-2018-0101
Online Information Review 2019-07-26
2018 Fabian Odoni, Philipp Kuntschik, Adrian M.P. BraÅŸoveanu, Albert Weichselbraun
On the Importance of Drill-Down Analysis for Assessing Gold Standards and Named Entity Linking Performance
published pages: 33-42, ISSN: 1877-0509, DOI: 10.1016/j.procs.2018.09.004
Procedia Computer Science 137 2019-07-26
2018 Adrian Brasoveanu, Giuseppe Rizzo, Philipp Kuntschick, Albert Weichselbraun, Lyndon J.B. Nixon
Framing Named Entity Linking Error Types
published pages: , ISSN: , DOI: 10.5281/zenodo.2543382
Proc. 11th Edition of the Language Resources and Evaluation Conference (LREC 2018) 2019-07-26

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