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
Proceedings: Proceedings of SGAICO Annual Assembly and Workshop 2015
Conference details: SGAICO Annual Assembly and Workshop 2015, Geneva, 12.11.2015
Issue Date: 2015
License (according to publishing contract) : Licence according to publishing contract
Type of review: Peer review (Abstract)
Language : English
Subjects : Word2Vec; Deep learning; Segmentation; Datalab
Subject (DDC) : 004: Computer science
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.
Departement: School of Engineering
Organisational Unit: Institute of Applied Information Technology (InIT)
Publication type: Conference Poster
URI: https://digitalcollection.zhaw.ch/handle/11475/7739
Published as part of the ZHAW project : PANOPTES
Appears in Collections:Publikationen School of Engineering

Files in This Item:
There are no files associated with this item.

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.