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dc.contributor.author | Toselli, Alejandro Héctor![]() |
es_ES |
dc.contributor.author | Vidal, Enrique![]() |
es_ES |
dc.contributor.author | Puigcerver, Joan![]() |
es_ES |
dc.contributor.author | Noya-García, Ernesto![]() |
es_ES |
dc.date.accessioned | 2020-01-09T21:00:51Z | |
dc.date.available | 2020-01-09T21:00:51Z | |
dc.date.issued | 2019-05-02 | es_ES |
dc.identifier.issn | 1433-7541 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/134140 | |
dc.description.abstract | [EN] Keyword spotting techniques are becoming cost-effective solutions for information retrieval in handwritten documents. We explore the extension of the single-word, line-level probabilistic indexing approach described in our previous works to allow for page-level search of queries consisting in Boolean combinations of several single-keywords. We propose heuristic rules to combine the single-word relevance probabilities into probabilistically consistent confidence scores of the multi-word boolean combinations. An empirical study, also presented in this paper, evaluates the search performance of word-pair queries involving AND and OR Boolean operations. Results of this study support the proposed approach and clearly show its effectiveness. Finally, a web-based demonstration system based on the proposed methods is presented. | es_ES |
dc.description.sponsorship | This work was partially supported by the Generalitat Valenciana under the Prometeo/2009/014 Project Grant ALMAMATER, Spanish MEC under Grant FPU13/06281, and through the EU projects: HIMANIS (JPICH programme, Spanish grant Ref. PCIN-2015-068) and READ (Horizon-2020 programme, Grant Ref. 674943). | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | Springer-Verlag | es_ES |
dc.relation.ispartof | Pattern Analysis and Applications | es_ES |
dc.rights | Reserva de todos los derechos | es_ES |
dc.subject | Handwritten text processing | es_ES |
dc.subject | Keyword spotting | es_ES |
dc.subject | Multi-word Boolean queries | es_ES |
dc.subject | Image processing | es_ES |
dc.subject | Pattern recognition | es_ES |
dc.subject.classification | LENGUAJES Y SISTEMAS INFORMATICOS | es_ES |
dc.subject.classification | ESTADISTICA E INVESTIGACION OPERATIVA | es_ES |
dc.title | Probabilistic multi-word spotting in handwritten text images | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1007/s10044-018-0742-z | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MINECO//PCIN-2015-068/ES/INDEXACION DE MANUSCRITOS HISTORICOS PARA BUSQUEDAS CONTROLADAS POR EL USUARIO/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/EC/H2020/674943/EU/Recognition and Enrichment of Archival Documents/ | |
dc.relation.projectID | info:eu-repo/grantAgreement/Generalitat Valenciana//PROMETEO09%2F2009%2F014/ES/Adaptive learning and multimodality in pattern recognition (Almapater)/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MECD//FPU13%2F06281/ES/FPU13%2F06281/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Estadística e Investigación Operativa Aplicadas y Calidad - Departament d'Estadística i Investigació Operativa Aplicades i Qualitat | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació | es_ES |
dc.description.bibliographicCitation | Toselli, AH.; Vidal, E.; Puigcerver, J.; Noya-García, E. (2019). Probabilistic multi-word spotting in handwritten text images. Pattern Analysis and Applications. 22(1):23-32. https://doi.org/10.1007/s10044-018-0742-z | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | https://doi.org/10.1007/s10044-018-0742-z | es_ES |
dc.description.upvformatpinicio | 23 | es_ES |
dc.description.upvformatpfin | 32 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 22 | es_ES |
dc.description.issue | 1 | es_ES |
dc.relation.pasarela | S\372706 | es_ES |
dc.contributor.funder | Generalitat Valenciana | es_ES |
dc.contributor.funder | Ministerio de Educación | es_ES |
dc.contributor.funder | Ministerio de Economía y Empresa | es_ES |
dc.contributor.funder | European Commission | es_ES |
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