Video object segmentation using multiple features
Resumen:
In this paper we present an algorithm for semi-automatic object extraction from video sequences using multiple features. This work is part of an ongoing e ort to study video segmentation using multiple features, and the relative contribution of each one of them. For this reason, the algorithm here presented will be very simple and made up from of the shelf algorithms. We will show that even with a simple algorithm, with the right steps, we can successfully segment video objects in moderate complex sequences
| 2004 | |
|
Gaussian mixture model Motion estimation Multiple feature Object shape Video object |
|
| Inglés | |
| Universidad de la República | |
| COLIBRI | |
| https://hdl.handle.net/20.500.12008/21297 | |
| Acceso abierto | |
| Licencia Creative Commons Atribución – No Comercial – Sin Derivadas (CC - By-NC-ND) |
| _version_ | 1807522895478390784 |
|---|---|
| author | Pardo, Alvaro |
| author_facet | Pardo, Alvaro |
| author_role | author |
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| collection | COLIBRI |
| dc.creator.none.fl_str_mv | Pardo, Alvaro |
| dc.date.accessioned.none.fl_str_mv | 2019-07-03T16:36:24Z |
| dc.date.available.none.fl_str_mv | 2019-07-03T16:36:24Z |
| dc.date.issued.es.fl_str_mv | 2004 |
| dc.date.submitted.es.fl_str_mv | 20190703 |
| dc.description.abstract.none.fl_txt_mv | In this paper we present an algorithm for semi-automatic object extraction from video sequences using multiple features. This work is part of an ongoing e ort to study video segmentation using multiple features, and the relative contribution of each one of them. For this reason, the algorithm here presented will be very simple and made up from of the shelf algorithms. We will show that even with a simple algorithm, with the right steps, we can successfully segment video objects in moderate complex sequences |
| dc.description.es.fl_txt_mv | Trabajo presentado en CIARP 2004: Progress in Pattern Recognition, Image Analysis and Applications |
| dc.identifier.citation.es.fl_str_mv | Pardo, A. Video object segmentation using multiple features [Preprint] Publicado en CIARP 2004: Progress in Pattern Recognition, Image Analysis and Applications. Proceedings. https://doi.org/10.1007/978-3-540-30463-0_75 |
| dc.identifier.uri.none.fl_str_mv | https://hdl.handle.net/20.500.12008/21297 |
| dc.language.iso.none.fl_str_mv | en eng |
| dc.rights.license.none.fl_str_mv | Licencia Creative Commons Atribución – No Comercial – Sin Derivadas (CC - By-NC-ND) |
| dc.rights.none.fl_str_mv | info:eu-repo/semantics/openAccess |
| dc.source.none.fl_str_mv | reponame:COLIBRI instname:Universidad de la República instacron:Universidad de la República |
| dc.subject.es.fl_str_mv | Gaussian mixture model Motion estimation Multiple feature Object shape Video object |
| dc.title.none.fl_str_mv | Video object segmentation using multiple features |
| dc.type.en.fl_str_mv | Preprint |
| dc.type.none.fl_str_mv | info:eu-repo/semantics/preprint |
| dc.type.version.none.fl_str_mv | info:eu-repo/semantics/submittedVersion |
| description | Trabajo presentado en CIARP 2004: Progress in Pattern Recognition, Image Analysis and Applications |
| eu_rights_str_mv | openAccess |
| format | preprint |
| id | COLIBRI_2a5e8fbd50e7009282f7dc068234ff1a |
| identifier_str_mv | Pardo, A. Video object segmentation using multiple features [Preprint] Publicado en CIARP 2004: Progress in Pattern Recognition, Image Analysis and Applications. Proceedings. https://doi.org/10.1007/978-3-540-30463-0_75 |
| instacron_str | Universidad de la República |
| institution | Universidad de la República |
| instname_str | Universidad de la República |
| language | eng |
| language_invalid_str_mv | en |
| network_acronym_str | COLIBRI |
| network_name_str | COLIBRI |
| oai_identifier_str | oai:colibri.udelar.edu.uy:20.500.12008/21297 |
| publishDate | 2004 |
| reponame_str | COLIBRI |
| repository.mail.fl_str_mv | mabel.seroubian@seciu.edu.uy |
| repository.name.fl_str_mv | COLIBRI - Universidad de la República |
| repository_id_str | 4771 |
| rights_invalid_str_mv | Licencia Creative Commons Atribución – No Comercial – Sin Derivadas (CC - By-NC-ND) |
| spelling | 2019-07-03T16:36:24Z2019-07-03T16:36:24Z200420190703Pardo, A. Video object segmentation using multiple features [Preprint] Publicado en CIARP 2004: Progress in Pattern Recognition, Image Analysis and Applications. Proceedings. https://doi.org/10.1007/978-3-540-30463-0_75https://hdl.handle.net/20.500.12008/21297Trabajo presentado en CIARP 2004: Progress in Pattern Recognition, Image Analysis and ApplicationsIn this paper we present an algorithm for semi-automatic object extraction from video sequences using multiple features. This work is part of an ongoing e ort to study video segmentation using multiple features, and the relative contribution of each one of them. For this reason, the algorithm here presented will be very simple and made up from of the shelf algorithms. We will show that even with a simple algorithm, with the right steps, we can successfully segment video objects in moderate complex sequencesMade available in DSpace on 2019-07-03T16:36:24Z (GMT). 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Nº 16 de C.D.C. de 07/10/2014)info:eu-repo/semantics/openAccessLicencia Creative Commons Atribución – No Comercial – Sin Derivadas (CC - By-NC-ND)Gaussian mixture modelMotion estimationMultiple featureObject shapeVideo objectVideo object segmentation using multiple featuresPreprintinfo:eu-repo/semantics/preprintinfo:eu-repo/semantics/submittedVersionreponame:COLIBRIinstname:Universidad de la Repúblicainstacron:Universidad de la RepúblicaPardo, AlvaroLICENSElicense.txttext/plain4267http://localhost:8080/xmlui/bitstream/20.500.12008/21297/5/license.txt6429389a7df7277b72b7924fdc7d47a9MD55CC-LICENSElicense_textapplication/octet-stream0http://localhost:8080/xmlui/bitstream/20.500.12008/21297/2/license_textd41d8cd98f00b204e9800998ecf8427eMD52license_urlapplication/octet-stream49http://localhost:8080/xmlui/bitstream/20.500.12008/21297/3/license_url4afdbb8c545fd630ea7db775da747b2fMD53license_rdfapplication/octet-stream0http://localhost:8080/xmlui/bitstream/20.500.12008/21297/4/license_rdfd41d8cd98f00b204e9800998ecf8427eMD54ORIGINALvos_ciarp04.pdfapplication/pdf1160066http://localhost:8080/xmlui/bitstream/20.500.12008/21297/1/vos_ciarp04.pdfc3f88607e7ed2b6fd9db0c42d1a7832fMD5120.500.12008/212972019-11-29 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- Universidad de la Repúblicafalse |
| spellingShingle | Video object segmentation using multiple features Pardo, Alvaro Gaussian mixture model Motion estimation Multiple feature Object shape Video object |
| status_str | submittedVersion |
| title | Video object segmentation using multiple features |
| title_full | Video object segmentation using multiple features |
| title_fullStr | Video object segmentation using multiple features |
| title_full_unstemmed | Video object segmentation using multiple features |
| title_short | Video object segmentation using multiple features |
| title_sort | Video object segmentation using multiple features |
| topic | Gaussian mixture model Motion estimation Multiple feature Object shape Video object |
| url | https://hdl.handle.net/20.500.12008/21297 |
