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

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

Lyndon Nixon; Evlampios Apostolidis; Foteini Markatopoulou; Ioannis Patras; Vasileios Mezaris;
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...
Subjects
free text keywords: News video verication, Story detection, Video retrieval, Video fragmentation, Video annotation, Video summarization, Content discovery, Information retrieval, Dashboard (business), Computer vision, Analytics, business.industry, business, Social network, Artificial intelligence, Computer science, Metadata, Automatic summarization
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
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https://zenodo.org/record/2539...
Part of book or chapter of book
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http://link.springer.com/conte...
Part of book or chapter of book . 2018
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publication . Conference object . Part of book or chapter of book . 2019

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

Lyndon Nixon; Evlampios Apostolidis; Foteini Markatopoulou; Ioannis Patras; Vasileios Mezaris;