Titlebook: Video Verification in the Fake News Era; Vasileios Mezaris,Lyndon Nixon,Denis Teyssou Book 2019 Springer Nature Switzerland AG 2019 Fake N

STEER

Video Fragmentation and Reverse Search on the Webhe web. This chapter starts by explaining the nature and characteristics of this type of reuse-based fake news in its introductory part, and continues with an overview of existing approaches for temporal fragmentation of single-shot videos into sub-shots (the most appropriate level of temporal granu

irritation

LIMN

Detecting Manipulations in Videoroceeded to develop a deep learning approach aimed to analyze the outputs of these forensics filters and automatically detect tampered videos. In this chapter, we present our survey of the state of the art with respect to its relevance to the goals of InVID, the forensics filters we developed and th

Somber

Inflammation

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.978-3-030-26754-4978-3-030-26752-0

Conducive

蟄伏

Devastate

libertine

Video Fragmentation and Reverse Search on the Weby are dealing with fake news—which nowadays are being rapidly spread via social media platforms—that rely on the reuse of a previously posted video from a past event with the intention to mislead the viewers about a contemporary event. The fragmentation of a video into visually and temporally cohere

DOTE

Finding Near-Duplicate Videos in Large-Scale Collectionstrieve all near-duplicate videos in a video repository and rank them based on their similarity to the query. Several approaches have been introduced in the literature, which can be roughly classified in three categories based on the level of video matching, i.e., (i) video-level, (ii) frame-level, a