Pratikakis, I.; Zagoris, K.; Gatos, B.; Puigcerver, J.; Toselli, AH.; Vidal, E. (2016). ICFHR2016 Handwritten Keyword Spotting Competition (H-KWS 2016). IEEE. https://doi.org/10.1109/ICFHR.2016.0117
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/87622
Título:
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ICFHR2016 Handwritten Keyword Spotting Competition (H-KWS 2016)
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Autor:
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Pratikakis, Ioannis
Zagoris, Konstantinos
Gatos, Basilis
Puigcerver, Joan
Toselli, Alejandro Héctor
Vidal, Enrique
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Editor:
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IEEE
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Entidad UPV:
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Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
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Fecha difusión:
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Resumen:
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[EN] The H-KWS 2016, organized in the context of the ICFHR 2016 conference aims at setting up an evaluation framework for benchmarking handwritten keyword spotting (KWS) examining both the Query by Example (QbE) and the ...[+]
[EN] The H-KWS 2016, organized in the context of the ICFHR 2016 conference aims at setting up an evaluation framework for benchmarking handwritten keyword spotting (KWS) examining both the Query by Example (QbE) and the Query by String (QbS) approaches. Both KWS approaches were hosted into two different tracks, which in turn were split into two distinct challenges, namely, a segmentation-based and a segmentation-free to accommodate different perspectives adopted by researchers in the KWS field. In addition, the competition aims to evaluate the submitted training-based methods under different amounts of training data. Four participants submitted at least one solution to one of the challenges, according to the capabilities and/or restrictions of their systems. The data used in the competition consisted of historical German and English documents with their own characteristics and complexities. This paper presents the details of the competition, including the data, evaluation metrics and results of the best run of each participating methods.
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Palabras clave:
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Evaluation Metrics
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Query by String
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Query by Example
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Keyword Spotting
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ICFHR'16 Contest
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Derechos de uso:
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Reserva de todos los derechos
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ISBN:
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978-1-5090-0981-7
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Fuente:
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DOI:
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10.1109/ICFHR.2016.0117
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Editorial:
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IEEE
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Versión del editor:
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https://doi.org/10.1109/ICFHR.2016.0117
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Título del congreso:
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15th International Conference on Frontiers in Handwriting Recognition (ICFHR 2016)
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Lugar del congreso:
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Shenzhen, China
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Fecha congreso:
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October, 23-26, 2016
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Código del Proyecto:
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info:eu-repo/grantAgreement/EC/H2020/674943/EU/Recognition and Enrichment of Archival Documents/
info:eu-repo/grantAgreement/MECD//FPU13%2F06281/ES/FPU13%2F06281/
info:eu-repo/grantAgreement/Generalitat Valenciana//PROMETEO09%2F2009%2F014/ES/Adaptive learning and multimodality in pattern recognition (Almapater)/
info:eu-repo/grantAgreement/MINECO//PCIN-2015-068/ES/INDEXACION DE MANUSCRITOS HISTORICOS PARA BUSQUEDAS CONTROLADAS POR EL USUARIO/
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Descripción:
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© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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Agradecimientos:
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This work was partially supported by the Spanish MEC under FPU grant FPU13/06281, by the Generalitat Valenciana under the Prometeo/2009/014 project grant ALMA-MATER, and through the EU projects: HIMANIS (JPICH programme, ...[+]
This work was partially supported by the Spanish MEC under FPU grant FPU13/06281, by the Generalitat Valenciana under the Prometeo/2009/014 project grant ALMA-MATER, and through the EU projects: HIMANIS (JPICH programme, Spanish grant Ref. PCIN-2015-068) and READ (Horizon-2020 programme, grant Ref. 674943).
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Tipo:
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Comunicación en congreso
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