Video Retrieval for Multimedia Verification of Breaking News on Social Networks

descriptionPublicationkeyboard_double_arrow_right Article , Conference object , Other literature type 27 Oct 2017Publisher:ACMJournal:Proceedings of the First International Workshop on Multimedia VerificationFunded by:EC | InVID

Authors: Nixon, Lyndon J.B.; Zhu, Shu; Fischer, Fabian; Rafelsberger, Walter; Göbel, Max; Scharl, Arno;

doi: 10.1145/3132384.3132386

Video Retrieval for Multimedia Verification of Breaking News on Social Networks

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Abstract

This paper presents an approach to automatically detecting breaking news events from social media streams, using event detection to collect in near real time relevant video documents from social networks regarding that breaking news. A visual analytics dashboard provides access to the results of the content processing pipeline, providing a rich interactive interface to explore emerging stories and select video material around those stories for verification.

Keywords

Social Media Retrieval, Social Media Extraction, Breaking News Detection, Video Retrieval, Social Network Retrieval, Story Detection

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