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dc.contributor.author | Martín-Albo Simón, Daniel | es_ES |
dc.contributor.author | Romero Gómez, Verónica | es_ES |
dc.contributor.author | Toselli, Alejandro Héctor | es_ES |
dc.contributor.author | Vidal Ruiz, Enrique | es_ES |
dc.date.accessioned | 2014-09-15T12:06:13Z | |
dc.date.issued | 2012-10-19 | |
dc.identifier.issn | 0218-0014 | |
dc.identifier.uri | http://hdl.handle.net/10251/39658 | |
dc.description.abstract | Currently, automatic handwriting recognition systems are ineffectual in unconstrained handwriting documents. Therefore, to obtain perfect transcriptions, heavy human intervention is required to validate and correct the results of such systems. Given that this post-editing process is inefficient and uncomfortable, a multimodal interactive approach has been proposed in previous works, which aims at obtaining correct transcriptions with the minimum human effort. In this approach, the user interacts with the system by means of an e-pen and/or more traditional methods such as keyboard or mouse. This user's feedback allows to improve system accuracy and multimodality increases system ergonomics and user acceptability. Until now, multimodal interaction has been studied only at whole-word level. In this work, multimodal interaction at character-level is studied, that may lead to more effective interactivity, since it is faster and easier to write only one character rather than a whole word. Here we study this kind of fine-grained multimodal interaction and present developments that allow taking advantage of interaction-derived context to significantly improve feedback decoding accuracy. Empirical tests on three cursive handwritten tasks suggest that, despite losing the deterministic accuracy of traditional peripherals, this approach can save significant amounts of user effort with respect to fully manual transcription as well as to non-interactive post-editing correction. | es_ES |
dc.description.sponsorship | Work supported by the Spanish Government (MICINN and "Plan E") under the MITTRAL (TIN2009-14633-C03-01) research project and under the research programme Consolider Ingenio 2010: MIPRCV (CSD2007-00018), by the Spanish MITyC under the erudito.com (TSI-020110-2009-439) project, by the FPU (AP2010-0575) grant, by the Generalitat Valenciana under grant Prometeo/2009/014 and by Universitat Politecnica de Valencia under "Programa de Apoyo a la Investigacion y Desarrollo" (PAID-05-11). | en_EN |
dc.language | Inglés | es_ES |
dc.publisher | World Scientific Publishing | es_ES |
dc.relation.ispartof | International Journal of Pattern Recognition and Artificial Intelligence | es_ES |
dc.rights | Reserva de todos los derechos | es_ES |
dc.subject | Multimodal interactive pattern recognition | es_ES |
dc.subject | Computer assisted transcription | es_ES |
dc.subject | Handwritten text recognition | es_ES |
dc.subject | Character-level interaction. | es_ES |
dc.subject.classification | LENGUAJES Y SISTEMAS INFORMATICOS | es_ES |
dc.title | Multimodal Computer-Assisted Transcription of Text Images at Character-Level Interaction | es_ES |
dc.type | Artículo | es_ES |
dc.embargo.lift | 10000-01-01 | |
dc.embargo.terms | forever | es_ES |
dc.identifier.doi | 10.1142/S0218001412630037 | |
dc.relation.projectID | info:eu-repo/grantAgreement/MICINN//TIN2009-14633-C03-01/ES/Multimodal Interaction For Text Transcription With Adaptive Learning/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MITURCO//TSI-020110-2009-0439/ES/ERUDITO.COM/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/ME//AP2010-0575/ES/AP2010-0575/ / | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/GVA//PROMETEO09%2F2009%2F014/ES/Adaptive learning and multimodality in pattern recognition (Almapater)/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/UPV//PAID-05-11/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MEC//CSD2007-00018/ES/Multimodal Intraction in Pattern Recognition and Computer Visionm/ / | es_ES |
dc.rights.accessRights | Cerrado | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Instituto Universitario Mixto Tecnológico de Informática - Institut Universitari Mixt Tecnològic d'Informàtica | es_ES |
dc.description.bibliographicCitation | Martín-Albo Simón, D.; Romero Gómez, V.; Toselli, AH.; Vidal Ruiz, E. (2012). Multimodal Computer-Assisted Transcription of Text Images at Character-Level Interaction. International Journal of Pattern Recognition and Artificial Intelligence. 26(5):1263003-1-1263003-19. https://doi.org/10.1142/S0218001412630037 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | http://dx.doi.org/10.1142/S0218001412630037 | es_ES |
dc.description.upvformatpinicio | 1263003-1 | es_ES |
dc.description.upvformatpfin | 1263003-19 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 26 | es_ES |
dc.description.issue | 5 | es_ES |
dc.relation.senia | 234244 | |
dc.contributor.funder | Ministerio de Educación | es_ES |
dc.contributor.funder | Generalitat Valenciana | es_ES |
dc.contributor.funder | Universitat Politècnica de València | es_ES |
dc.contributor.funder | Ministerio de Industria, Turismo y Comercio | es_ES |
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