{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,27]],"date-time":"2026-03-27T16:11:26Z","timestamp":1774627886447,"version":"3.50.1"},"publisher-location":"California","reference-count":0,"publisher":"International Joint Conferences on Artificial Intelligence Organization","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,7]]},"abstract":"<jats:p>Layout analysis is a fundamental process in document image analysis and understanding.\u00a0It consists of several sub-processes such as page segmentation, text line segmentation, baseline detection and so on.\u00a0In this work, we propose a multi-task layout analysis method that use a single FCN model to solve the above three problems simultaneously.\u00a0The FCN is trained to segment the document image into different regions and detect the center line of each text line by classifying pixels into different categories.\u00a0By supervised learning on document images with pixel-wise labels, the FCN can extract discriminative features and perform pixel-wise classification accurately.\u00a0After pixel-wise classification, post-processing steps are taken to reduce noises, correct wrong segmentations and find out overlapping regions.\u00a0Experimental results on the public dataset DIVA-HisDB containing challenging medieval manuscripts demonstrate the effectiveness and superiority of the proposed method.<\/jats:p>","DOI":"10.24963\/ijcai.2018\/147","type":"proceedings-article","created":{"date-parts":[[2018,7,5]],"date-time":"2018-07-05T05:49:10Z","timestamp":1530769750000},"page":"1057-1063","source":"Crossref","is-referenced-by-count":29,"title":["Multi-task Layout Analysis for Historical Handwritten Documents Using Fully Convolutional Networks"],"prefix":"10.24963","author":[{"given":"Yue","family":"Xu","sequence":"first","affiliation":[{"name":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, P.R. China"},{"name":"University of Chinese Academy of Sciences, Beijing, P.R. China"}]},{"given":"Fei","family":"Yin","sequence":"additional","affiliation":[{"name":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, P.R. China"},{"name":"University of Chinese Academy of Sciences, Beijing, P.R. China"}]},{"given":"Zhaoxiang","family":"Zhang","sequence":"additional","affiliation":[{"name":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, P.R. China"},{"name":"University of Chinese Academy of Sciences, Beijing, P.R. China"},{"name":"CAS Center for Excellence of Brain Science and Intelligence Technology, Beijing, P.R. China"}]},{"given":"Cheng-Lin","family":"Liu","sequence":"additional","affiliation":[{"name":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, P.R. China"},{"name":"University of Chinese Academy of Sciences, Beijing, P.R. China"},{"name":"CAS Center for Excellence of Brain Science and Intelligence Technology, Beijing, P.R. China"}]}],"member":"10584","event":{"name":"Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}","theme":"Artificial Intelligence","location":"Stockholm, Sweden","acronym":"IJCAI-2018","number":"27","sponsor":["International Joint Conferences on Artificial Intelligence Organization (IJCAI)"],"start":{"date-parts":[[2018,7,13]]},"end":{"date-parts":[[2018,7,19]]}},"container-title":["Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence"],"original-title":[],"deposited":{"date-parts":[[2018,7,5]],"date-time":"2018-07-05T05:50:22Z","timestamp":1530769822000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ijcai.org\/proceedings\/2018\/147"}},"subtitle":[],"proceedings-subject":"Artificial Intelligence Research Articles","short-title":[],"issued":{"date-parts":[[2018,7]]},"references-count":0,"URL":"https:\/\/doi.org\/10.24963\/ijcai.2018\/147","relation":{},"subject":[],"published":{"date-parts":[[2018,7]]}}}