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Video Verification in the Fake News Era

  • Book
  • © 2019

Overview

Editors:
  1. Vasileios Mezaris

    1. Centre for Research and Technology Hellas, Information Technologies Institute, Thermi, Greece

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  2. Lyndon Nixon

    1. MODUL Technology GmbH, MODUL University Vienna, Vienna, Austria

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  3. Symeon Papadopoulos

    1. Centre for Research and Technology Hellas, Information Technologies Institute, Thermi, Greece

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  4. Denis Teyssou

    1. Agence France-Presse, Paris, France

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  • Discusses in depth a wide range of state-of-the-art technologies for video verification

  • Presents practical tools and complete software solutions for use by news and media professionals

  • Opens new perspectives for how to combat fake videos and fake news in the future

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Table of contents (12 chapters)

  1. Front Matter

    Pages i-xiv
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  2. Problem Statement

    1. Front Matter

      Pages 1-1
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    2. Video Verification: Motivation and Requirements

      • Denis Teyssou, Jochen Spangenberg
      Pages 3-14

  3. Technologies

    1. Front Matter

      Pages 15-15
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    2. Real-Time Story Detection and Video Retrieval from Social Media Streams

      • Lyndon Nixon, Daniel Fischl, Arno Scharl
      Pages 17-52

    3. Video Fragmentation and Reverse Search on the Web

      • Evlampios Apostolidis, Konstantinos Apostolidis, Ioannis Patras, Vasileios Mezaris
      Pages 53-90

    4. Finding Near-Duplicate Videos in Large-Scale Collections

      • Giorgos Kordopatis-Zilos, Symeon Papadopoulos, Ioannis Patras, Ioannis Kompatsiaris
      Pages 91-126

    5. Finding Semantically Related Videos in Closed Collections

      • Foteini Markatopoulou, Markos Zampoglou, Evlampios Apostolidis, Symeon Papadopoulos, Vasileios Mezaris, Ioannis Patras et al.
      Pages 127-159

    6. Detecting Manipulations in Video

      • Grégoire Mercier, Foteini Markatopoulou, Roger Cozien, Markos Zampoglou, Evlampios Apostolidis, Alexandros I. Metsai et al.
      Pages 161-189

    7. Verification of Web Videos Through Analysis of Their Online Context

      • Olga Papadopoulou, Markos Zampoglou, Symeon Papadopoulos, Ioannis Kompatsiaris
      Pages 191-221

    8. Copyright Management of User-Generated Video for Journalistic Reuse

      • Roberto García, Maria Teixidor, Paloma de Barrón, Denis Teyssou, Rosa Gil, Albert Berga et al.
      Pages 223-259

  4. Applications

    1. Front Matter

      Pages 261-261
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    2. Applying Design Thinking Methodology: The InVID Verification Plugin

      • Denis Teyssou
      Pages 263-279

    3. Multimodal Analytics Dashboard for Story Detection and Visualization

      • Arno Scharl, Alexander Hubmann-Haidvogel, Max Göbel, Tobi Schäfer, Daniel Fischl, Lyndon Nixon
      Pages 281-299

    4. Video Verification in the Newsroom

      • Rolf Fricke, Jan Thomsen
      Pages 301-335

  5. Concluding Remarks

    1. Front Matter

      Pages 337-337
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    2. Disinformation: The Force of Falsity

      • Denis Teyssou
      Pages 339-347

  6. Back Matter

    Pages 349-352
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Keywords

About this book

This book presents the latest technological advances and practical tools for discovering, verifying and visualizing social media video content, and managing related rights. The digital media revolution is bringing breaking news to online video platforms, and news organizations often rely on user-generated recordings of new and developing events shared in social media to illustrate the story. However, in video, there is also deception. In today's "fake news" era, access to increasingly sophisticated editing and content management tools and the ease with which fake information spreads in electronic networks, require the entire news and media industries to carefully verify third-party content before publishing it. As such, this book is of interest to computer scientists and researchers, news and media professionals, as well as policymakers and data-savvy media consumers.

Editors and Affiliations

  • Centre for Research and Technology Hellas, Information Technologies Institute, Thermi, Greece

    Vasileios Mezaris, Symeon Papadopoulos

  • MODUL Technology GmbH, MODUL University Vienna, Vienna, Austria

    Lyndon Nixon

  • Agence France-Presse, Paris, France

    Denis Teyssou

About the editors

Dr. Vasileios Mezaris is a Research Director at the Information Technologies Institute (ITI) of the Centre for Research and Technology Hellas (CERTH), Greece, and Coordinator of the InVID H2020 EU project. His other publications include the Springer title Personal Multimedia Preservation: Remembering or Forgetting Images and Video.

Dr. Lyndon Nixon is an Assistant Professor in the Department of New Media Technology, MODUL University Vienna, Austria, and the CTO of the spin-off company MODUL Technology GmbH. In the InVID project, he led the work on news story detection and social media retrieval.

Dr. Symeon Papadopoulos is a Senior Researcher at the Information Technologies Institute (ITI) of the Centre for Research and Technology Hellas (CERTH), Greece, and co-founder of the spin-off company Infalia PC. His other publications include the Springer title User Community Discovery. In the InVID project, he led the work on multimedia verification.

Dr. Denis Teyssou is the Head of AFP Medialab R&D, France, and Innovation Manager of the InVID H2020 EU project on video verification on social networks and fake news debunking.

Bibliographic Information

  • Book Title: Video Verification in the Fake News Era

  • Editors: Vasileios Mezaris, Lyndon Nixon, Symeon Papadopoulos, Denis Teyssou

  • DOI: https://doi.org/10.1007/978-3-030-26752-0

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer Nature Switzerland AG 2019

  • Hardcover ISBN: 978-3-030-26751-3Published: 27 September 2019

  • Softcover ISBN: 978-3-030-26754-4Published: 28 September 2020

  • eBook ISBN: 978-3-030-26752-0Published: 17 September 2019

  • Edition Number: 1

  • Number of Pages: XIV, 352

  • Number of Illustrations: 6 b/w illustrations, 127 illustrations in colour

  • Topics: Image Processing and Computer Vision, Multimedia Information Systems, Media Research, Journalism

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