Please use this identifier to cite or link to this item: http://www.repositorio.ufop.br/handle/123456789/7167
Title: Automatic and online setting of similarity thresholds in content-based visual information retrieval problems.
Authors: Bessas, Izaquiel L.
Pádua, Flávio Luis Cardeal
Assis, Guilherme Tavares de
Cardoso, Rodrigo T. N.
Lacerda, Anisio Mendes
Keywords: Content-based retrieval systems
Issue Date: 2016
Citation: BESSAS, I. L. et al. Automatic and online setting of similarity thresholds in content-based visual information retrieval problems. EURASIP Journal on Advances in Signal Processing, v. 2016, n. 32, p. 1-16, 2016. Disponível em: <http://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>. Acesso em: 20 jan. 2017.
Abstract: Several 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.
URI: http://www.repositorio.ufop.br/handle/123456789/7167
metadata.dc.identifier.uri2: http://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
ISSN: 16876180
Appears in Collections:DECOM - Artigos publicados em periódicos

Files in This Item:
File Description SizeFormat 
ARTIGO_AutomaticOnlineSetting.pdf3,01 MBAdobe PDFView/Open    Request a copy


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.