In Video Veritas – Verification of Social Media Video Content for the News Industry | InVID | Project | Results | H2020 | CORDIS

Risultati finali

Overview of UGC Copyright Management industry practices

This deliverable summarises the work done in Task 3.1 and presents an overview of the common practices in the media industry related with the use and licensing of User Generated Content.

Technology Roadmap

This deliverable reports on the system architecture defined in T5.1, including data exchange definitions, requirements, distributed computing strategy, validation measures, and API specifications to enable communication with third-party applications involved in the use cases.

Quality and knowledge management plan

This deliverable will document the quality and knowledge management plan of the project, and will introduce the procedures and materials (e.g., deliverable quality assessment checklist) that are necessary for realizing this plan throughout the project’s life.

Data management plan

This deliverable will document the data management plan of the project, in accordance with H2020 data management requirements.

Activities and outcome of the Pilots, second report

This will extend the pilot testing results of D.7.1 by covering the pilot testing carried our as part of development cycles 4 to 6 (which run from M19 to M27).

Activities and outcome of the Pilots, first report

Using a variety of methods (ranging from questionnaires to group sessions – details above in task descriptions), this deliverable will report insights gained and user feedback on performance, usability, fit-for-purpose and functionalities of InVID components and the complete InVID applications/systems. This includes the outlining of positive features as well as shortcomings. D7.1 will cover the pilot preparation (from the beginning of WP7 in M7) and the pilot testing carried our as part of development cycles 1 to 3 (which run from M10 to M18; see Gantt chart for the exact timing of each development cycle).

InVID initial industrial requirements

This deliverable describes the industrial requirements for the InVID applications, as identified at the beginning of the project. These are to be continuously updated, and updated versions of them will be reported in D6.2, D6.3 and D6.4.

Activities and outcome of the Pilots, final report

This is the final report on the pilot testing results, covering the pilot testing carried our as part of the last three development cycles of the project (cycles 7 to 9, which run from M28 to M36), and summarizing the results of pilot testing throughout the project’s lifetime.

Updated Data, quality and knowledge management plan

This deliverable will document the updated data, quality and knowledge management plans, based on experience gained during the first 21 months of the project.

Project website and promotional material

This deliverable comprises the design and setup of the project website, and the creation of the project’s promotional materials (Project Presentation, Communication Kit), which will be made publicly available via the website and will also be used as part of other dissemination activities.

Pubblicazioni

Concept Language Models and Event-based Concept Number Selection for Zero-example Event Detection

Autori: Damianos Galanopoulos, Foteini Markatopoulou, Vasileios Mezaris, Ioannis Patras
Pubblicato in: Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval - ICMR '17, 2017, Pagina/e 397-401, ISBN 9781-450347013
Editore: ACM Press
DOI: 10.1145/3078971.3079043

Video Retrieval for Multimedia Verification of Breaking News on Social Networks

Autori: Lyndon J.B. Nixon, Shu Zhu, Fabian Fischer, Walter Rafelsberger, Max Göbel, Arno Scharl
Pubblicato in: Proceedings of the First International Workshop on Multimedia Verification - MuVer '17, 2017, Pagina/e 13-21, ISBN 9781-450355100
Editore: ACM Press
DOI: 10.1145/3132384.3132386

VideoAnalysis4ALL - An On-line Tool for the Automatic Fragmentation and Concept-based Annotation, and the Interactive Exploration of Videos

Autori: Chrysa Collyda, Evlampios Apostolidis, Alexandros Pournaras, Foteini Markatopoulou, Vasileios Mezaris, Ioannis Patras
Pubblicato in: Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval - ICMR '17, 2017, Pagina/e 470-474, ISBN 9781-450347013
Editore: ACM Press
DOI: 10.1145/3078971.3079015

MuVer'17 - First International Workshop on Multimedia Verification

Autori: Vasileios Mezaris, Lyndon Nixon, Symeon Papadopoulos, Jochen Spangenberg
Pubblicato in: Proceedings of the 2017 ACM on Multimedia Conference - MM '17, 2017, Pagina/e 1983-1984, ISBN 9781-450349062
Editore: ACM Press
DOI: 10.1145/3123266.3132058

Learning to Detect Misleading Content on Twitter

Autori: Christina Boididou, Symeon Papadopoulos, Lazaros Apostolidis, Yiannis Kompatsiaris
Pubblicato in: Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval - ICMR '17, 2017, Pagina/e 278-286, ISBN 9781-450347013
Editore: ACM Press
DOI: 10.1145/3078971.3078979

The InVID Plug-in - Web Video Verification on the Browser

Autori: Denis Teyssou, Jean-Michel Leung, Evlampios Apostolidis, Konstantinos Apostolidis, Symeon Papadopoulos, Markos Zampoglou, Olga Papadopoulou, Vasileios Mezaris
Pubblicato in: Proceedings of the First International Workshop on Multimedia Verification - MuVer '17, 2017, Pagina/e 23-30, ISBN 9781-450355100
Editore: ACM Press
DOI: 10.1145/3132384.3132387

Query and Keyframe Representations for Ad-hoc Video Search

Autori: Foteini Markatopoulou, Damianos Galanopoulos, Vasileios Mezaris, Ioannis Patras
Pubblicato in: Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval - ICMR '17, 2017, Pagina/e 407-411, ISBN 9781-450347013
Editore: ACM Press
DOI: 10.1145/3078971.3079041

Web Video Verification using Contextual Cues

Autori: Olga Papadopoulou, Markos Zampoglou, Symeon Papadopoulos, Yiannis Kompatsiaris
Pubblicato in: Proceedings of the 2nd International Workshop on Multimedia Forensics and Security - MFSec '17, 2017, Pagina/e 6-10, ISBN 9781-450350341
Editore: ACM Press
DOI: 10.1145/3078897.3080535

AKSDA-MSVM - A GPU-accelerated Multiclass Learning Framework for Multimedia

Autori: Stavros Arestis-Chartampilas, Nikolaos Gkalelis, Vasileios Mezaris
Pubblicato in: Proceedings of the 2016 ACM on Multimedia Conference - MM '16, 2016, Pagina/e 461-465, ISBN 9781-450336031
Editore: ACM Press
DOI: 10.1145/2964284.2967263

Character-based Neural Embeddings for Tweet Clustering

Autori: Lyndon Nixon, Svitlana Vakulenko, Mihai Lupu
Pubblicato in: SocialNLP workshop at European Chapter of the Association for Computational Linguistics (EACL) 2017, 2017
Editore: Association for Computational Linguistics
DOI: 10.5281/zenodo.582565

ITI-CERTH participation in TRECVID 2016

Autori: 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
Pubblicato in: Proceedings of the TRECVID 2016 Workshop, 2016
Editore: National Institute of Standards and Technology (NIST)
DOI: 10.5281/zenodo.200498

VERGE IN VBS 2018

Autori: Anastasia Moumtzidou, Stelios Andreadis, Foteini Markatopoulou, Damianos Galanopoulos, Ilias Gialampoukidis, Stefanos Vrochidis, Vasileios Mezaris, Ioannis Kompatsiaris, Ioannis Patras
Pubblicato in: Proceedings of the 24th International Conference on Multimedia Modeling, 2018, Pagina/e 444-450
Editore: Springer International Publishing
DOI: 10.1007/978-3-319-73600-6_48

ITI-CERTH participation in TRECVID 2017

Autori: Foteini Markatopoulou, Anastasia Moumtzidou, Damianos Galanopoulos, Konstantinos Avgerinakis, Stelios Andreadis, Ilias Gialampoukidis, Stavros Tachos, Stefanos Vrochidis, Vasileios Mezaris, Ioannis Kompatsiaris, Ioannis Patras
Pubblicato in: Proceedings of the TRECVID 2017 Workshop, 2017
Editore: National Institute of Standards and Technology (NIST)
DOI: 10.5281/zenodo.1183440

StoryLens - A Multiple Views Corpus for Location and Event Detection

Autori: Adrian M.P. Braşoveanu, Lyndon J.B. Nixon, Albert Weichselbraun
Pubblicato in: Proceedings of the 8th International Conference on Web Intelligence, Mining and Semantics - WIMS '18, 2018, Pagina/e 1-4, ISBN 9781-450354899
Editore: ACM Press
DOI: 10.1145/3227609.3227674

Mining and Leveraging Background Knowledge for Improving Named Entity Linking

Autori: Albert Weichselbraun, Philipp Kuntschik, Adrian M.P. Braşoveanu
Pubblicato in: Proceedings of the 8th International Conference on Web Intelligence, Mining and Semantics - WIMS '18, 2018, Pagina/e 1-11, ISBN 9781-450354899
Editore: ACM Press
DOI: 10.1145/3227609.3227670

Framing Named Entity Linking Error Types

Autori: Adrian Brasoveanu, Giuseppe Rizzo, Philipp Kuntschick, Albert Weichselbraun, Lyndon J.B. Nixon
Pubblicato in: Proc. 11th Edition of the Language Resources and Evaluation Conference (LREC 2018), 2018
Editore: European Language Resource Association
DOI: 10.5281/zenodo.2543382

Near-Duplicate Video Retrieval with Deep Metric Learning

Autori: Giorgos Kordopatis-Zilos, Symeon Papadopoulos, Ioannis Patras, Yiannis Kompatsiaris
Pubblicato in: 2017 IEEE International Conference on Computer Vision Workshops (ICCVW), 2017, Pagina/e 347-356, ISBN 978-1-5386-1034-3
Editore: IEEE
DOI: 10.1109/ICCVW.2017.49

A Web-Based Service for Disturbing Image Detection

Autori: Jochen, Spangenberg; Papadopoulos, Symeon; Zampoglou, Markos; Kompatsiaris, Yiannis
Pubblicato in: Proceedings of the 23rd International Conference on MultiMedia Modeling (MMM’17), 2017, Pagina/e 438-441
Editore: Springer
DOI: 10.1007/978-3-319-51814-5_37

VERGE IN VBS 2017

Autori: Mironidis, Theodoros; Kompatsiaris, Ioannis; Vrochidis, Stefanos; Andreadis, Stelios; Ioannidou, Anastasia; Gialampoukidis, Ilias; Moumtzidou, Anastasia; Galanopoulos, Damianos; Mezaris, Vasileios; Markatopoulou, Fotini; Patras, Ioannis
Pubblicato in: Proceedings of the 23rd International Conference on MultiMedia Modeling (MMM’17), 2017, Pagina/e 486-492
Editore: Springer
DOI: 10.1007/978-3-319-51814-5_46

Deep Multi-task Learning with Label Correlation Constraint for Video Concept Detection

Autori: Patras, Ioannis; Mezaris, Vasileios; Markatopoulou, Foteini
Pubblicato in: Proceedings of the 2016 ACM on Multimedia Conference - MM '16, 2016, Pagina/e 501-505, ISBN 978-1-4503-3603-1
Editore: ACM
DOI: 10.1145/2964284.2967271

Online multi-task learning for semantic concept detection in video

Autori: Foteini Markatopoulou, Vasileios Mezaris, Ioannis Patras
Pubblicato in: 2016 IEEE International Conference on Image Processing (ICIP), 2016, Pagina/e 186-190, ISBN 978-1-4673-9961-6
Editore: IEEE
DOI: 10.1109/ICIP.2016.7532344

Video aesthetic quality assessment using kernel Support Vector Machine with isotropic Gaussian sample uncertainty (KSVM-IGSU)

Autori: Christos Tzelepis, Eftichia Mavridaki, Vasileios Mezaris, Ioannis Patras
Pubblicato in: 2016 IEEE International Conference on Image Processing (ICIP), 2016, Pagina/e 2410-2414, ISBN 978-1-4673-9961-6
Editore: IEEE
DOI: 10.1109/ICIP.2016.7532791

Near-Duplicate Video Retrieval by Aggregating Intermediate CNN Layers

Autori: Patras, Ioannis; Kordopatis-Zilos, Giorgos; Kompatsiaris, Yiannis; Papadopoulos, Symeon
Pubblicato in: Proceedings of the 23rd International Conference on MultiMedia Modeling (MMM’17), 2017, Pagina/e 251-263
Editore: Springer
DOI: 10.1007/978-3-319-51811-4_21

Comparison of Fine-tuning and Extension Strategies for Deep Convolutional Neural Networks

Autori: Markatopoulou, Foteini; Pittaras, Nikiforos; Mezaris, Vasileios; Patras, Ioannis
Pubblicato in: Proceedings of the 23rd International Conference on MultiMedia Modeling (MMM’17), 2017, Pagina/e 102-114
Editore: Springer
DOI: 10.1007/978-3-319-51811-4_9

Detection and visualization of misleading content on Twitter

Autori: Christina Boididou, Symeon Papadopoulos, Markos Zampoglou, Lazaros Apostolidis, Olga Papadopoulou, Yiannis Kompatsiaris
Pubblicato in: International Journal of Multimedia Information Retrieval, Numero 7/1, 2018, Pagina/e 71-86, ISSN 2192-6611
Editore: Springer London
DOI: 10.1007/s13735-017-0143-x

Implicit and Explicit Concept Relations in Deep Neural Networks for Multi-Label Video/Image Annotation

Autori: Foteini Markatopoulou, Vasileios Mezaris, Ioannis Patras
Pubblicato in: IEEE Transactions on Circuits and Systems for Video Technology, 2018, Pagina/e 1-1, ISSN 1051-8215
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/TCSVT.2018.2848458

Verifying information with multimedia content on twitter

Autori: Christina Boididou, Stuart E. Middleton, Zhiwei Jin, Symeon Papadopoulos, Duc-Tien Dang-Nguyen, Giulia Boato, Yiannis Kompatsiaris
Pubblicato in: Multimedia Tools and Applications, Numero 77/12, 2018, Pagina/e 15545-15571, ISSN 1380-7501
Editore: Kluwer Academic Publishers
DOI: 10.1007/s11042-017-5132-9

Content-aware Detection of JPEG Grid Inconsistencies for Intuitive Image Forensics

Autori: Iakovidou, Chryssanthi; Zampoglou, Markos; Papadopoulos, Symeon; Kompatsiaris, Yannis
Pubblicato in: Journal of Visual Communication and Image Representation, Numero 2, 2018, Pagina/e 155-170, ISSN 1047-3203
Editore: Academic Press
DOI: 10.5281/zenodo.1246437

On the Importance of Drill-Down Analysis for Assessing Gold Standards and Named Entity Linking Performance

Autori: Fabian Odoni, Philipp Kuntschik, Adrian M.P. Braşoveanu, Albert Weichselbraun
Pubblicato in: Procedia Computer Science, Numero 137, 2018, Pagina/e 33-42, ISSN 1877-0509
Editore: Elsevier
DOI: 10.1016/j.procs.2018.09.004

A corpus of debunked and verified user-generated videos

Autori: Olga Papadopoulou, Markos Zampoglou, Symeon Papadopoulos, Ioannis Kompatsiaris
Pubblicato in: Online Information Review, 2018, ISSN 1468-4527
Editore: Emerald Group Publishing Ltd.
DOI: 10.1108/OIR-03-2018-0101

Automatic synchronization of multi-user photo galleries

Autori: Emanuele Sansone, Konstantinos Apostoldis, Nicola Conci, Giulia Boato, Vasileios Mezaris, F.G.B De Natale
Pubblicato in: IEEE Transactions on Multimedia, Numero 19/6, 2017, Pagina/e 1-1, ISSN 1520-9210
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/TMM.2017.2655446

Event-based media processing and analysis: A survey of the literature

Autori: Ionescu, Bogdan; Mezaris, Vasileios; Tzelepis, Christos; Sebe, Nicu; Ma, Zhigang; Kompatsiaris, Ioannis; Yan, Shuicheng; Boato, Giulia
Pubblicato in: Image and Vision Computing, Numero 53, 2016, Pagina/e 3-19, ISSN 0262-8856
Editore: Elsevier BV
DOI: 10.1016/j.imavis.2016.05.005

Multimodal Video Annotation for Retrieval and Discovery of Newsworthy Video in a News Verification Scenario

Autori: Lyndon Nixon, Evlampios Apostolidis, Foteini Markatopoulou, Ioannis Patras, Vasileios Mezaris
Pubblicato in: Plant MicroRNAs - Methods and Protocols, Numero 1932, 2019, Pagina/e 143-155, ISBN 978-1-4939-9041-2
Editore: Springer New York
DOI: 10.1007/978-3-030-05710-7_12

Image Aesthetics Assessment Using Fully Convolutional Neural Networks

Autori: Konstantinos Apostolidis, Vasileios Mezaris
Pubblicato in: Plant MicroRNAs - Methods and Protocols, Numero 1932, 2019, Pagina/e 361-373, ISBN 978-1-4939-9041-2
Editore: Springer New York
DOI: 10.1007/978-3-030-05710-7_30

Detecting Tampered Videos with Multimedia Forensics and Deep Learning

Autori: Markos Zampoglou, Foteini Markatopoulou, Gregoire Mercier, Despoina Touska, Evlampios Apostolidis, Symeon Papadopoulos, Roger Cozien, Ioannis Patras, Vasileios Mezaris, Ioannis Kompatsiaris
Pubblicato in: Plant MicroRNAs - Methods and Protocols, Numero 1932, 2019, Pagina/e 374-386, ISBN 978-1-4939-9041-2
Editore: Springer New York
DOI: 10.1007/978-3-030-05710-7_31

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

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