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Real-time Content Analysis & Processing

A Horizon 2020 project that developed an automatic content analysis platform for metadata-driven media workflows, completed in May 2018.

Real-time Analysis

Learn how ReCAP turns keyframe sequences into fully searchable video previews—no manual tagging required. How ReCAP Builds Searchable Video Previews From Keyframe Sequences Automatically extract time-stamped descriptive and technical metadata from live broadcast-quality video.

Quality Control

Detect lost or frozen frames, dropouts, macroblocking, and estimate sharpness and noise levels.

Content Recognition

Logo detection, face detection, and content duplication detection for archive and live feeds.

Enhancing Metadata-Driven Workflows

The media production industry faces growing challenges from the explosion of mobile devices and demand for content on any device. Modern workflows must support multiple heterogeneous sources and playout targets, making rich metadata and data integrity essential for quality assurance and Media Asset Management. Discover how ReCAP detects and flags excessive digital noise in video in our latest article: How ReCAP flags excessive digital noise in video.

  • Co-funded by the European Union's Horizon 2020 Programme under grant agreement No 732461
  • Consortium led by NMR, with partners Tools On Air, Nablet, and Joanneum Research
  • Awarded approximately €1 million in EU funding in December 2016
  • Working prototype demonstrated at NAB 2017 in the Futures Park (Booth N1639FP)
Horizon 2020 Grant Agreement No 732461

Project Milestones

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NAB 2017 — Proof of Concept

Check out our article on the ReCAP integration with Telestream Vantage for smarter transcoding. ReCAP Integration With Telestream Vantage For Smarter Transcoding 19 April 2017: The consortium debuted a working prototype of its video analysis technology in Las Vegas.

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BVE 2018

28 February 2018: The ReCAP project was presented at BVE 2018 in London.

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NAB 2018

9 April 2018: The ReCAP team exhibited on the ToolsOnAir booth SL14813 at NAB 2018.

Explore the full project timeline and technical details.

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This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 732461.