Video Verification in the Fake News Era

Häftad, Engelska, 2020

Av Vasileios Mezaris, Lyndon Nixon, Symeon Papadopoulos, Denis Teyssou

1 279 kr

Beställningsvara. Skickas inom 10-15 vardagar

Fri frakt för medlemmar vid köp för minst 249 kr.

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.

Produktinformation

Utgivningsdatum2020-09-28
Mått155 x 235 x 20 mm
Vikt557 g
FormatHäftad
SpråkEngelska
Antal sidor352
FörlagSpringer Nature Switzerland AG
ISBN9783030267544

Tillhör följande kategorier

Sociologi inom Samhalle och politik
Grafik och bildbehandling inom Data och it
Systemvetenskap och AI inom Data och it
Medievetenskap inom Samhalle och politik

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 thework 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.

Part I: Problem Statement - 1. Video Verification Motivation and Requirements.- Part II: Technologies - 2. Real-time Story Detection and Video Retrieval from Social Media Systems.- 3. Video Fragmentation and Reverse Search on the Web.- 4. Finding Near-duplicate Videos in Large-scale Collections.- 5. Finding Semantically-related Videos in Closed Collections. 6. Detecting Manipulations in Video.- 7. Verification of Web Videos through Analysis of their Online Context.- 8. Copyright management of user-Generated Video for Journalistic Reuse.