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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…mehr
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.
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.
Inhaltsangabe
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.
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.
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.
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.
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