Simple and fast shape based image retrieval
Autor(a) principal: | |
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Data de Publicação: | 2011 |
Outros Autores: | , |
Tipo de documento: | Livro |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | https://hdl.handle.net/10216/56788 |
Resumo: | Content Based Image Retrieval (CBIR) is a challenging and active topic of research. This paper focuses on the shape of the represented objects as the main criterion in respect to evaluate the relevance of the retrieval results. There are several shape descriptors described in the literature, which are reported to achieve good results. However some of them are not obvious to implement or are computationally demanding. In this paper we propose a simple and fast to compute set of features to achieve shape based image retrieval. We conducted retrieval experiments on the MPEG-7 Core Experiment CE-Shape-1 test set and the results obtained demonstrate usefulness and competiveness against reported results from other more elaborated descriptors. Results demonstrate that our approach is also valuable when objects represented in the images share similar shapes, although being conceptually different. Another interesting result is that users tend to be very stringent when a good result set is presented (very similar shapes) whilst they are more permissive when the result set does not present a very high level of similarity between the shapes. |
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Simple and fast shape based image retrievalCiências Tecnológicas, Outras ciências da engenharia e tecnologiasTechnological sciences, Other engineering and technologiesContent Based Image Retrieval (CBIR) is a challenging and active topic of research. This paper focuses on the shape of the represented objects as the main criterion in respect to evaluate the relevance of the retrieval results. There are several shape descriptors described in the literature, which are reported to achieve good results. However some of them are not obvious to implement or are computationally demanding. In this paper we propose a simple and fast to compute set of features to achieve shape based image retrieval. We conducted retrieval experiments on the MPEG-7 Core Experiment CE-Shape-1 test set and the results obtained demonstrate usefulness and competiveness against reported results from other more elaborated descriptors. Results demonstrate that our approach is also valuable when objects represented in the images share similar shapes, although being conceptually different. Another interesting result is that users tend to be very stringent when a good result set is presented (very similar shapes) whilst they are more permissive when the result set does not present a very high level of similarity between the shapes.20112011-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/bookapplication/pdfhttps://hdl.handle.net/10216/56788engJoão Ferreira NunesPedro Miguel MoreiraJoão Manuel R. S.Tavaresinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-29T15:53:01Zoai:repositorio-aberto.up.pt:10216/56788Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T00:34:31.614493Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Simple and fast shape based image retrieval |
title |
Simple and fast shape based image retrieval |
spellingShingle |
Simple and fast shape based image retrieval João Ferreira Nunes Ciências Tecnológicas, Outras ciências da engenharia e tecnologias Technological sciences, Other engineering and technologies |
title_short |
Simple and fast shape based image retrieval |
title_full |
Simple and fast shape based image retrieval |
title_fullStr |
Simple and fast shape based image retrieval |
title_full_unstemmed |
Simple and fast shape based image retrieval |
title_sort |
Simple and fast shape based image retrieval |
author |
João Ferreira Nunes |
author_facet |
João Ferreira Nunes Pedro Miguel Moreira João Manuel R. S.Tavares |
author_role |
author |
author2 |
Pedro Miguel Moreira João Manuel R. S.Tavares |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
João Ferreira Nunes Pedro Miguel Moreira João Manuel R. S.Tavares |
dc.subject.por.fl_str_mv |
Ciências Tecnológicas, Outras ciências da engenharia e tecnologias Technological sciences, Other engineering and technologies |
topic |
Ciências Tecnológicas, Outras ciências da engenharia e tecnologias Technological sciences, Other engineering and technologies |
description |
Content Based Image Retrieval (CBIR) is a challenging and active topic of research. This paper focuses on the shape of the represented objects as the main criterion in respect to evaluate the relevance of the retrieval results. There are several shape descriptors described in the literature, which are reported to achieve good results. However some of them are not obvious to implement or are computationally demanding. In this paper we propose a simple and fast to compute set of features to achieve shape based image retrieval. We conducted retrieval experiments on the MPEG-7 Core Experiment CE-Shape-1 test set and the results obtained demonstrate usefulness and competiveness against reported results from other more elaborated descriptors. Results demonstrate that our approach is also valuable when objects represented in the images share similar shapes, although being conceptually different. Another interesting result is that users tend to be very stringent when a good result set is presented (very similar shapes) whilst they are more permissive when the result set does not present a very high level of similarity between the shapes. |
publishDate |
2011 |
dc.date.none.fl_str_mv |
2011 2011-01-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/book |
format |
book |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://hdl.handle.net/10216/56788 |
url |
https://hdl.handle.net/10216/56788 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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1799136253831020544 |