Automated Article Segmentation of Newspaper Pages for "Real Time Print Media Monitoring" (PANOPTES)
Description
The new product of ARGUS DATA INSIGHTS Schweiz AG "Real Time Print Media Monitoring" is an automated pipeline. It identifies relevant articles in print media, extracts them and sends them to the customers in real-time. Core of this project is the automated segmentation of full newspaper pages into articles, this is developed within the project PANOPTES using sophisticated algorithms and artificial intelligence.
Key data
Projectlead
Project team
Marek Arnold, Jan Stampfli, Prof. Dr. Thilo Stadelmann, Fatih Uzdilli
Project partners
ARGUS DATA INSIGHTS Schweiz AG
Project status
completed, 07/2015 - 09/2017
Institute/Centre
Institute of Computer Science (InIT); Centre for Artificial Intelligence (CAI)
Funding partner
CTI
Project budget
462'063 CHF
Publications
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Lessons learned from challenging data science case studies
2019 Stockinger, Kurt; Braschler, Martin; Stadelmann, Thilo
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Beyond ImageNet : deep learning in industrial practice
2019 Stadelmann, Thilo; Tolkachev, Vasily; Sick, Beate; Stampfli, Jan; Dürr, Oliver
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Applied data science : lessons learned for the data-driven business
2019
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PANOPTES : automated article segmentation of newspaper pages for "Real Time Print Media Monitoring“
2015 Arnold, Marek; Cieliebak, Mark; Stadelmann, Thilo; Stampfli, Jan; Uzdilli, Fatih
