Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Günter Mühlberger"'
Autor:
Vincent Christlein, Markus Diem, Florian Kleber, Günter Mühlberger, Verena Schwägerl-Melchior, Esther van Gelder, Andreas Maier
Publikováno v:
Zeitschrift für digitale Geisteswissenschaften, Iss 02 (2016)
In recent years, Automatic Writer Identification (AWI) has received a lot of attention in the document analysis community. However, most research has been conducted on contemporary benchmark sets. These datasets typically do not contain any noise
Externí odkaz:
https://doaj.org/article/dfb6157a7e8f46d5ac9977df6d48f543
Publikováno v:
OST@ICDAR
Transkribus is a comprehensive platform for the computer-aided transcription, recognition and retrieval of digitized historical documents. The main user interface is provided via an open-source desktop application that incorporates means to segment d
Autor:
Günter Mühlberger
Publikováno v:
DocEng
Research Infrastructures (RIs) are one of the key concepts in Horizon 2020, the European Commission's Research programme. A budget of EUR 2.7bn is available for projects under the RI programme. The talk will describe some of the main characteristics
Autor:
Günter Mühlberger
Publikováno v:
Zeitschrift für Bibliothekswesen und Bibliographie. 58:010-018
OCR recognition is a key technology which cannot be circumvented when systematically digitizing historical newspapers. Although often achieving a word accuracy of only 80% or less for newspapers of the 19th and early 20th century, these imperfect fil
Autor:
Günter Mühlberger
Publikováno v:
Zeitschrift für Bibliothekswesen und Bibliographie. 55:207-212
Autor:
Günter Mühlberger
Publikováno v:
Interlending & Document Supply. 30:66-72
While document delivery of journal articles has seen some remarkable progress, interlibrary loan (ILL) of monographs is still carried out in the way it started; to satisfy the need of a single user the book is delivered from site to site by post. The
Publikováno v:
DATeCH
In this paper we describe a new approach to the correction of noisy OCR text which combines the power of crowdsourcing with information retrieval technology. Searching a given full-text, validating the results and correcting single terms are modeled
Autor:
Enrique Vidal, Katrien Depuydt, Philip Schofield, Richard M. Davis, Günter Mühlberger, Jesse de Does, Basilis Gatos, Joan Andreu Sánchez
Publikováno v:
ACM Symposium on Document Engineering
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
The tranScriptorium project aims to develop innovative, efficient and cost-effective solutions for annotating handwritten historical documents using modern, holistic Handwritten Text Recognition (HTR) technology. Three actions are planned in tranScri
Publikováno v:
ICDAR
This paper summarizes the 3rd Book Structure Extraction competition that was run at the ICDAR 2013. Its goal is to evaluate and compare automatic techniques for deriving structure information from digitized books, which could then be used to aid navi