Real-time Analysis
Camera shake can ruin handheld shots, but ReCAP’s latest work turns that jitter into searchable metadata. ReCAP for logging camera jitter in handheld footage 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. Check out our latest post Automating commercial break detection in recorded broadcasts on how ReCAP’s broadcast analysis pipeline automates the detection of commercial breaks in recorded TV footage.
- 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)
Project Milestones
NAB 2017 — Proof of Concept
19 April 2017: The consortium debuted a working prototype of its video analysis technology in Las Vegas.
BVE 2018
28 February 2018: The ReCAP project was presented at BVE 2018 in London.
NAB 2018
9 April 2018: The ReCAP team exhibited on the ToolsOnAir booth SL14813 at NAB 2018.
We Need Smarter MAM
Alex Buchanan, COO at NMR, published a blog post on 13 September 2017 exploring how smarter Media Asset Management can address the challenges of ever-growing media libraries. Read the full article at vidispine.com.
Explore the full project timeline and technical details.
Visit the BlogThis project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 732461.