Automatic and online setting of similarity thresholds in content-based visual information retrieval problems.

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MetadadosDescriçãoIdioma
Autor(es): dc.creatorBessas, Izaquiel Lopes de-
Autor(es): dc.creatorPádua, Flávio Luis Cardeal-
Autor(es): dc.creatorAssis, Guilherme Tavares de-
Autor(es): dc.creatorCardoso, Rodrigo Tomás Nogueira-
Autor(es): dc.creatorLacerda, Anisio Mendes-
Data de aceite: dc.date.accessioned2025-08-21T15:35:53Z-
Data de disponibilização: dc.date.available2025-08-21T15:35:53Z-
Data de envio: dc.date.issued2017-02-01-
Data de envio: dc.date.issued2017-02-01-
Data de envio: dc.date.issued2016-
Fonte completa do material: dc.identifierhttp://www.repositorio.ufop.br/handle/123456789/7167-
Fonte completa do material: dc.identifierhttp://download.springer.com/static/pdf/29/art%253A10.1186%252Fs13634-016-0324-4.pdf?originUrl=http%3A%2F%2Flink.springer.com%2Farticle%2F10.1186%2Fs13634-016-0324-4&token2=exp=1484910369~acl=%2Fstatic%2Fpdf%2F29%2Fart%25253A10.1186%25252Fs13634-016-0324-4.pdf%3ForiginUrl%3Dhttp%253A%252F%252Flink.springer.com%252Farticle%252F10.1186%252Fs13634-016-0324-4*~hmac=095fb19f10096bbaa22ab30d86e5bc922726ab9dd235363e092133d48ce3df16-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/capes/1019341-
Descrição: dc.descriptionSeveral information recovery systems use functions to determine similarity among objects in a collection. Such functions require a similarity threshold, from which it becomes possible to decide on the similarity between two given objects. Thus, depending on its value, the results returned by systems in a search may be satisfactory or not. However, the definition of similarity thresholds is difficult because it depends on several factors. Typically, specialists fix a threshold value for a given system, which is used in all searches. However, an expert-defined value is quite costly and not always possible. Therefore, this study proposes an approach for automatic and online estimation of the similarity threshold value, to be specifically used by content-based visual information retrieval system (image and video) search engines. The experimental results obtained with the proposed approach prove rather promising. For example, for one of the case studies, the performance of the proposed approach achieved 99.5 % efficiency in comparison with that obtained by a specialist using an empirical similarity threshold. Moreover, such automated approach becomes more scalable and less costly.-
Formato: dc.formatapplication/pdf-
Idioma: dc.languageen-
Direitos: dc.rightsaberto-
Palavras-chave: dc.subjectContent-based retrieval systems-
Título: dc.titleAutomatic and online setting of similarity thresholds in content-based visual information retrieval problems.-
Aparece nas coleções:Repositório Institucional - UFOP

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