publication . Conference object . Part of book or chapter of book . 2019

Multimodal Video Annotation for Retrieval and Discovery of Newsworthy Video in a News Verication Scenario

Ioannis Patras; Evlampios E. Apostolidis; Foteini Markatopoulou; Vasileios Mezaris; Lyndon J. B. Nixon;
Open Access English
  • Published: 09 Jan 2019
Abstract
This paper describes the combination of advanced technologies for social-media-based story detection, story-based video retrieval and concept-based video (fragment) labeling under a novel approach for multimodal video annotation. This approach involves textual metadata, structural information and visual concepts - and a multimodal analytics dashboard that enables journalists to discover videos of news events, posted to social networks, in order to verify the details of the events shown. It outlines the characteristics of each individual method and describes how these techniques are blended to facilitate the content-based retrieval, discovery and summarization of...
Persistent Identifiers
Subjects
free text keywords: News video verication, Story detection, Video retrieval, Video fragmentation, Video annotation, Video summarization, Automatic summarization, Dashboard (business), Computer science, Analytics, business.industry, business, Metadata, Social network, Information retrieval, Content discovery
Funded by
EC| InVID
Project
InVID
In Video Veritas – Verification of Social Media Video Content for the News Industry
  • Funder: European Commission (EC)
  • Project Code: 687786
  • Funding stream: H2020 | IA
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Conference object . 2019
Provider: ZENODO
https://zenodo.org/record/2539...
Part of book or chapter of book
Provider: UnpayWall
http://dx.doi.org/10.1007/978-...
Part of book or chapter of book
Provider: Sygma
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