Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-7739
Publication type: Conference poster
Type of review: Peer review (abstract)
Title: PANOPTES : automated article segmentation of newspaper pages for "Real Time Print Media Monitoring“
Authors: Arnold, Marek
Cieliebak, Mark
Stadelmann, Thilo
Stampfli, Jan
Uzdilli, Fatih
DOI: 10.21256/zhaw-7739
Proceedings: Proceedings of SGAICO Annual Assembly and Workshop 2015
Conference details: SGAICO Annual Assembly and Workshop 2015, Geneva, 12 November 2015
Issue Date: 2015
Publisher / Ed. Institution: Swiss Group for Artificial Intelligence and Cognitive Science
Language: English
Subjects: Word2Vec; Deep learning; Segmentation; Datalab
Subject (DDC): 006: Special computer methods
070: News media, journalism and publishing
Abstract: We present results in automatically segmenting newspaper pages into disjunct articles. Image, text and OCR information will be fused by rule- and learning-based approaches to facilitate new products in media monitoring.
URI: https://digitalcollection.zhaw.ch/handle/11475/7739
Fulltext version: Published version
License (according to publishing contract): Licence according to publishing contract
Departement: School of Engineering
Organisational Unit: Institute of Computer Science (InIT)
Published as part of the ZHAW project: PANOPTES
Appears in collections:Publikationen School of Engineering

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Arnold, M., Cieliebak, M., Stadelmann, T., Stampfli, J., & Uzdilli, F. (2015). PANOPTES : automated article segmentation of newspaper pages for “Real Time Print Media Monitoring“. Proceedings of SGAICO Annual Assembly and Workshop 2015. https://doi.org/10.21256/zhaw-7739
Arnold, M. et al. (2015) ‘PANOPTES : automated article segmentation of newspaper pages for ‘Real Time Print Media Monitoring“’, in Proceedings of SGAICO Annual Assembly and Workshop 2015. Swiss Group for Artificial Intelligence and Cognitive Science. Available at: https://doi.org/10.21256/zhaw-7739.
M. Arnold, M. Cieliebak, T. Stadelmann, J. Stampfli, and F. Uzdilli, “PANOPTES : automated article segmentation of newspaper pages for “Real Time Print Media Monitoring“,” in Proceedings of SGAICO Annual Assembly and Workshop 2015, 2015. doi: 10.21256/zhaw-7739.
ARNOLD, Marek, Mark CIELIEBAK, Thilo STADELMANN, Jan STAMPFLI und Fatih UZDILLI, 2015. PANOPTES : automated article segmentation of newspaper pages for „Real Time Print Media Monitoring“. In: Proceedings of SGAICO Annual Assembly and Workshop 2015. Conference poster. Swiss Group for Artificial Intelligence and Cognitive Science. 2015
Arnold, Marek, Mark Cieliebak, Thilo Stadelmann, Jan Stampfli, and Fatih Uzdilli. 2015. “PANOPTES : Automated Article Segmentation of Newspaper Pages for “Real Time Print Media Monitoring“.” Conference poster. In Proceedings of SGAICO Annual Assembly and Workshop 2015. Swiss Group for Artificial Intelligence and Cognitive Science. https://doi.org/10.21256/zhaw-7739.
Arnold, Marek, et al. “PANOPTES : Automated Article Segmentation of Newspaper Pages for “Real Time Print Media Monitoring“.” Proceedings of SGAICO Annual Assembly and Workshop 2015, Swiss Group for Artificial Intelligence and Cognitive Science, 2015, https://doi.org/10.21256/zhaw-7739.


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