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 |
Files in This Item:
File | Description | Size | Format | |
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2015_Arnold-etal_PANOPTES-Poster_SGAICO.pdf | 1.78 MB | Adobe PDF | ![]() View/Open |
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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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