Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Nikolaos Stamatopoulos"'
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 41:1587-1600
In this article, a method for segmentation-based learning-free Query by Example (QbE) keyword spotting on handwritten documents is proposed. The method consists of three steps, namely preprocessing, feature extraction and matching, which address crit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::076d08e7a51c66e1d179b101b11336bb
https://doi.org/10.1109/tpami.2018.2845880
https://doi.org/10.1109/tpami.2018.2845880
Autor:
Vassilis Katsouros, George Retsinas, Foteini Liwicki, Angelos P. Giotis, Giorgos Sfikas, Vassilis Papavassiliou, Georgios Louloudis, Basilis Gatos, Nikolaos Stamatopoulos
Publikováno v:
Series in Machine Perception and Artificial Intelligence
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b4e6594fc1ba3270816f781571996df5
https://doi.org/10.1142/9789811203244_0009
https://doi.org/10.1142/9789811203244_0009
Autor:
Philip Schofield, Joan Puigcerver Pérez, Markus Diem, Lauri Hirvonen, Tobias Hodel, Enrique Vidal, Hervé Déjean, Basilis Gatos, Tamara Terbul, Vicente Bosch, Konstantinos Zagoris, Mario Kallio, Florian Kleber, M. Bryan, Louise Seaward, Eva Lang, Alejandro Héctor Toselli, Vili Haukkovaara, Nathanael Philipp, Georgios Louloudis, Sören Laube, Sebastian Colutto, Tobias Strauß, Guenter Muehlberger, Christian Sieber, Johannes Michael, Matti Jokinen, Stefan Fiel, Albert Greinoecker, Hannelore Putz, George Retsinas, Herbert Wurster, Mauricio Villegas, Rory McNicholl, Nikolaos Stamatopoulos, Gundram Leifert, Frédéric Kaplan, Roger Labahn, Tobias Grüning, Gerhard Heyer, Joan Andreu Sánchez, Giorgos Sfikas, Elena Mühlbauer, Ioannis Pratikakis, Verónica Romero, Jean-Luc Meunier, Max Weidemann, Berthold Ulreich, Philip Kahle, Sofia Ares Oliveira, Guenter Hackl, Robert Sablatnig, Johanna Walcher, Melissa Terras
Publikováno v:
Muehlberger, Guenter; Seaward, Louise; Terras, Melissa; Ares Oliveira, Sofia; Bosch, Vicente; Bryan, Maximilian; Colutto, Sebastian; Déjean, Hervé; Diem, Markus; Fiel, Stefan; Gatos, Basilis; Greinoecker, Albert; Grüning, Tobias; Hackl, Guenter; Haukkovaara, Vili; Heyer, Gerhard; Hirvonen, Lauri; Hodel, Tobias; Jokinen, Matti; Kahle, Philip; ... (2019). Transforming scholarship in the archives through handwritten text recognition: Transkribus as a case study. Journal of documentation, 75(5), pp. 954-976. Emerald 10.1108/jd-07-2018-0114
Seaward, L, Terras, M, Muehlberger, G, Ares Oliveira, S, Vicente, B, Colutto, S, Déjean, H, Diem, M, Fiel, S, Gatos, B, Grüning, T, Greinoecker, A, Hackl, G, Haukkovaara, V, Heyer, G, Hirvonen, L, Hodel, T, Jokinen, M, Jokinen, P, Kallio, M, Kaplan, F, Kleber, F, Labahn, R, Lang, E M, Laube, S, Leifert, G, Louloudis, G, McNicholl, R, Meunier, J-L, Mühlbauer, E, Philipp, N, Pratikakis, I, Puigcerver Pérez, J, Putz, H, Retsinas, G, Romero, V, Sablatnig, R, Sánchez, J A, Schofield, P, Sfikas, G, Sieber, C, Stamatopoulos, N, Strauss, T, Terbul, T, Toselli, A H, Ulreich, B, Villega, M, Vidal, E, Walcher, J, Weidemann, M, Wurster, H, Zagoris, K, Bryan, M & Michael, J 2019, ' Transforming scholarship in the archives through handwritten text recognition : Transkribus as a case study ', Journal of Documentation, vol. 75, no. 5, pp. 954-976 . https://doi.org/10.1108/JD-07-2018-0114
Seaward, L, Terras, M, Muehlberger, G, Ares Oliveira, S, Vicente, B, Colutto, S, Déjean, H, Diem, M, Fiel, S, Gatos, B, Grüning, T, Greinoecker, A, Hackl, G, Haukkovaara, V, Heyer, G, Hirvonen, L, Hodel, T, Jokinen, M, Jokinen, P, Kallio, M, Kaplan, F, Kleber, F, Labahn, R, Lang, E M, Laube, S, Leifert, G, Louloudis, G, McNicholl, R, Meunier, J-L, Mühlbauer, E, Philipp, N, Pratikakis, I, Puigcerver Pérez, J, Putz, H, Retsinas, G, Romero, V, Sablatnig, R, Sánchez, J A, Schofield, P, Sfikas, G, Sieber, C, Stamatopoulos, N, Strauss, T, Terbul, T, Toselli, A H, Ulreich, B, Villega, M, Vidal, E, Walcher, J, Weidemann, M, Wurster, H, Zagoris, K, Bryan, M & Michael, J 2019, ' Transforming scholarship in the archives through handwritten text recognition : Transkribus as a case study ', Journal of Documentation, vol. 75, no. 5, pp. 954-976 . https://doi.org/10.1108/JD-07-2018-0114
Purpose An overview of the current use of handwritten text recognition (HTR) on archival manuscript material, as provided by the EU H2020 funded Transkribus platform. It explains HTR, demonstrates Transkribus, gives examples of use cases, highlights
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::12dc00900b7e878be4e4cb9861629300
https://boris.unibe.ch/137985/1/10-1108_JD-07-2018-0114.pdf
https://boris.unibe.ch/137985/1/10-1108_JD-07-2018-0114.pdf
Publikováno v:
ICFHR
In this work, we present a novel approach for the extraction of deep features from a Convolutional Neural Network (CNN), designed for the task of Keyword Spotting (KWS). The main novelty of our work concerns the generation of a compact descriptor abl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5cd18c8e9e24b27dd151cde1bfccd43c
https://doi.org/10.1109/icfhr-2018.2018.00062
https://doi.org/10.1109/icfhr-2018.2018.00062
Publikováno v:
DAS
Deep convolutional neural networks are today the new baseline for a wide range of machine vision tasks. The problem of keyword spotting is no exception to this rule. Many successful network architectures and learning strategies have been adapted from
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d9475a69f74ef47183d933fa07ec4325
https://doi.org/10.1109/das.2018.49
https://doi.org/10.1109/das.2018.49
Publikováno v:
ICDAR
Nonlinear manifold embedding has attracted considerable attention due to its highly-desired property of efficiently encoding local structure, i.e. intrinsic space properties, into a low-dimensional space. The benefit of such an approach is twofold: i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::29d48f4d6275136239062ebd68596762
https://doi.org/10.1109/icdar.2017.86
https://doi.org/10.1109/icdar.2017.86
Publikováno v:
DocEng
This tutorial focuses on recent advances and ongoing developments for historical document processing. It includes the main challenges involved, the different tasks that have to be implemented as well as practices and technologies that currently exist
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::adf578db3feaf965b14d87e8d06fd521
https://doi.org/10.1145/3103010.3103026
https://doi.org/10.1145/3103010.3103026
Publikováno v:
DocEng
In this paper we propose a new method for automated segmentation of scanned newspaper pages into articles. Article regions are produced as a result of merging sub-article level content and title regions. We use a Bayesian Gaussian mixture model to mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6eda9b8c7ae6a5fcbf6220ff541bbc31
https://doi.org/10.1145/2960811.2967165
https://doi.org/10.1145/2960811.2967165