caa a22 4500 44537943X CHVBK 20180317143012.0 cr unu---uuuuu 170323e20110301xx s 000 0 eng 10.1007/s10032-010-0127-3 doi (NATIONALLICENCE)springer-10.1007/s10032-010-0127-3 Setting up a competition framework for the evaluation of structure extraction from OCR-ed books [Elektronische Daten] [Antoine Doucet, Gabriella Kazai, Bodin Dresevic, Aleksandar Uzelac, Bogdan Radakovic, Nikola Todic] This paper describes the setup of the Book Structure Extraction competition run at ICDAR 2009. The goal of the competition was to evaluate and compare automatic techniques for deriving structure information from digitized books, which could then be used to aid navigation inside the books. More specifically, the task that participants faced was to construct hyperlinked tables of contents for a collection of 1,000 digitized books. This paper describes the setup of the competition and its challenges. It introduces and discusses the book collection used in the task, the collaborative construction of the ground truth, the evaluation measures, and the evaluation results. The paper also introduces a data set to be used freely for research evaluation purposes. Springer-Verlag, 2010 Doucet Antoine University of Caen, Caen, France aut Kazai Gabriella Microsoft Research Cambridge, Cambridge, United Kingdom aut Dresevic Bodin Microsoft Development Center Serbia, Belgrade, Serbia aut Uzelac Aleksandar Microsoft Development Center Serbia, Belgrade, Serbia aut Radakovic Bogdan Microsoft Development Center Serbia, Belgrade, Serbia aut Todic Nikola Microsoft Development Center Serbia, Belgrade, Serbia aut International Journal on Document Analysis and Recognition (IJDAR) Springer-Verlag 14/1(2011-03-01), 45-52 1433-2833 14:1<45 2011 14 10032 https://doi.org/10.1007/s10032-010-0127-3 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10032-010-0127-3 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Doucet Antoine University of Caen, Caen, France aut NATIONALLICENCE 700 1- Kazai Gabriella Microsoft Research Cambridge, Cambridge, United Kingdom aut NATIONALLICENCE 700 1- Dresevic Bodin Microsoft Development Center Serbia, Belgrade, Serbia aut NATIONALLICENCE 700 1- Uzelac Aleksandar Microsoft Development Center Serbia, Belgrade, Serbia aut NATIONALLICENCE 700 1- Radakovic Bogdan Microsoft Development Center Serbia, Belgrade, Serbia aut NATIONALLICENCE 700 1- Todic Nikola Microsoft Development Center Serbia, Belgrade, Serbia aut NATIONALLICENCE 773 0- International Journal on Document Analysis and Recognition (IJDAR) Springer-Verlag 14/1(2011-03-01), 45-52 1433-2833 14:1<45 2011 14 10032 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer