Identificador persistente para citar o vincular este elemento:
http://hdl.handle.net/10553/15753
Campo DC | Valor | idioma |
---|---|---|
dc.contributor.author | Lorenzo Navarro, José Javier | en_US |
dc.contributor.author | Castrillón-Santana, Modesto | en_US |
dc.contributor.author | Ramón Balmaseda, Enrique José | en_US |
dc.contributor.author | Freire, David | en_US |
dc.date.accessioned | 2016-02-15T11:53:25Z | - |
dc.date.accessioned | 2018-06-15T09:22:16Z | - |
dc.date.available | 2016-02-15T11:53:25Z | - |
dc.date.available | 2018-06-15T09:22:16Z | - |
dc.date.issued | 2014 | en_US |
dc.identifier.isbn | 978-3-319-12810-8 | en_US |
dc.identifier.issn | 0302-9743 | en_US |
dc.identifier.other | WoS | - |
dc.identifier.uri | http://hdl.handle.net/10553/15753 | - |
dc.description.abstract | In this work an experimental study about the capability of the LBP, HOG descriptors and color for clothing attribute classification is presented. Two different variants of the LBP descriptor are considered, the original LBP and the uniform LBP. Two classifiers, Linear SVM and Random Forest, have been included in the comparison because they have been frequently used in clothing attributes classification. The experiments are carried out with a public available dataset, the clothing attribute dataset, that has 26 attributes in total. The obtained accuracies are over 75% in most cases, reaching 80% for the necktie or sleeve length attributes. | en_US |
dc.language | eng | en_US |
dc.publisher | Springer | en_US |
dc.relation.ispartof | Lecture Notes in Computer Science | en_US |
dc.source | Video Analytics for Audience Measurement. VAAM 2014. Lecture Notes in Computer Science, v. 8811 LNCS, p. 53-65 (2014) | en_US |
dc.subject | 120304 Inteligencia artificial | en_US |
dc.subject.other | LBP | en_US |
dc.subject.other | HOG | en_US |
dc.subject.other | Clothing description | en_US |
dc.title | Evaluation of LBP and HOG descriptors for clothing attribute description | en_US |
dc.type | info:eu-repo/semantics/bookPart | en_US |
dc.type | Book part | en_US |
dc.relation.conference | 1st International Workshop on Video Analytics for Audience Measurement (VAAM 2014) | en_US |
dc.identifier.doi | 10.1007/978-3-319-12811-5_4 | en_US |
dc.identifier.scopus | 84921743382 | - |
dc.identifier.isi | 000354934200004 | - |
dc.contributor.authorscopusid | 15042453800 | - |
dc.contributor.authorscopusid | 22333278500 | - |
dc.contributor.authorscopusid | 56494744200 | - |
dc.contributor.authorscopusid | 35078304000 | - |
dc.identifier.eissn | 1611-3349 | - |
dc.description.lastpage | 65 | en_US |
dc.description.firstpage | 53 | en_US |
dc.relation.volume | 8811 LNCS | en_US |
dc.investigacion | Ingeniería y Arquitectura | en_US |
dc.rights.accessrights | info:eu-repo/semantics/openAccess | - |
dc.type2 | Capítulo de libro | en_US |
dc.contributor.daisngid | 2489695 | - |
dc.contributor.daisngid | 32145428 | - |
dc.contributor.daisngid | 5871035 | - |
dc.contributor.daisngid | 5069358 | - |
dc.description.numberofpages | 13 | en_US |
dc.identifier.eisbn | 978-3-319-12811-5 | - |
dc.utils.revision | Sí | en_US |
dc.contributor.wosstandard | WOS:Lorenzo-Navarro, J | - |
dc.contributor.wosstandard | WOS:Castrillon, M | - |
dc.contributor.wosstandard | WOS:Ramon, E | - |
dc.contributor.wosstandard | WOS:Freire, D | - |
dc.date.coverdate | Enero 2014 | en_US |
dc.identifier.ulpgc | Sí | en_US |
dc.description.sjr | 0,325 | |
dc.description.sjrq | Q3 | |
dc.description.spiq | Q1 | |
item.grantfulltext | open | - |
item.fulltext | Con texto completo | - |
crisitem.event.eventsstartdate | 24-08-2014 | - |
crisitem.author.dept | GIR SIANI: Inteligencia Artificial, Robótica y Oceanografía Computacional | - |
crisitem.author.dept | IU Sistemas Inteligentes y Aplicaciones Numéricas | - |
crisitem.author.dept | Departamento de Informática y Sistemas | - |
crisitem.author.dept | GIR SIANI: Inteligencia Artificial, Robótica y Oceanografía Computacional | - |
crisitem.author.dept | IU Sistemas Inteligentes y Aplicaciones Numéricas | - |
crisitem.author.dept | Departamento de Informática y Sistemas | - |
crisitem.author.dept | GIR SIANI: Inteligencia Artificial, Robótica y Oceanografía Computacional | - |
crisitem.author.dept | IU Sistemas Inteligentes y Aplicaciones Numéricas | - |
crisitem.author.dept | Departamento de Informática y Sistemas | - |
crisitem.author.orcid | 0000-0002-2834-2067 | - |
crisitem.author.orcid | 0000-0002-8673-2725 | - |
crisitem.author.orcid | 0000-0002-2768-1729 | - |
crisitem.author.orcid | 0000-0003-2378-4277 | - |
crisitem.author.parentorg | IU Sistemas Inteligentes y Aplicaciones Numéricas | - |
crisitem.author.parentorg | IU Sistemas Inteligentes y Aplicaciones Numéricas | - |
crisitem.author.parentorg | IU Sistemas Inteligentes y Aplicaciones Numéricas | - |
crisitem.author.fullName | Lorenzo Navarro, José Javier | - |
crisitem.author.fullName | Castrillón Santana, Modesto Fernando | - |
crisitem.author.fullName | De Ramón Balmaseda, Enrique José | - |
crisitem.author.fullName | Freire Obregón, David Sebastián | - |
Colección: | Capítulo de libro |
Citas SCOPUSTM
13
actualizado el 17-nov-2024
Citas de WEB OF SCIENCETM
Citations
10
actualizado el 17-nov-2024
Visitas
95
actualizado el 04-may-2024
Descargas
243
actualizado el 04-may-2024
Google ScholarTM
Verifica
Altmetric
Comparte
Exporta metadatos
Este elemento está sujeto a una licencia Licencia Creative Commons