Computing Image Descriptors from Annotations Acquired from External Tools
Visual descriptors are widely used in several recognition and classification tasks in robotics. The main challenge for these tasks is to find a descriptor that could represent the image content without losing representative information of the image. Nowadays, there exists a wide range of visual desc...
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | , , , , |
| Format: | article |
| Language: | English |
| Published: |
2019
|
| Subjects: | |
| Online Access: | https://link.springer.com/chapter/10.1007/978-3-319-27149-1_52 https://ridda2.utp.ac.pa/handle/123456789/9437 |
| Tags: |
No Tags, Be the first to tag this record!
|
| _version_ | 1869652467403194368 |
|---|---|
| author | Rangel, José Carlos |
| author2 | Cazorla, Miguel García Varea, Ismael Martínez Gómez, Jesus Fromont, Élisa Sebban, Marc |
| author2_role | author author author author author |
| author_browse | Cazorla, Miguel Fromont, Élisa García Varea, Ismael Martínez Gómez, Jesus Rangel, José Carlos Sebban, Marc |
| author_facet | Rangel, José Carlos Cazorla, Miguel García Varea, Ismael Martínez Gómez, Jesus Fromont, Élisa Sebban, Marc |
| author_role | author |
| collection | Repositorio Institucional de documento digitales de acceso abierto de la UTP |
| dc.creator.none.fl_str_mv | Rangel, José Carlos Cazorla, Miguel García Varea, Ismael Martínez Gómez, Jesus Fromont, Élisa Sebban, Marc |
| dc.date.none.fl_str_mv | 11/28/2015 11/28/2015 2019-12-17T20:27:37Z 2019-12-17T20:27:37Z 2019-12-17T20:27:37Z 2019-12-17T20:27:37Z |
| dc.format.none.fl_str_mv | application/pdf application/pdf |
| dc.identifier.none.fl_str_mv | https://link.springer.com/chapter/10.1007/978-3-319-27149-1_52 https://ridda2.utp.ac.pa/handle/123456789/9437 https://ridda2.utp.ac.pa/handle/123456789/9437 |
| dc.language.none.fl_str_mv | eng en |
| dc.rights.none.fl_str_mv | info:eu-repo/semantics/embargoedAccess |
| dc.source.none.fl_str_mv | reponame:Repositorio Institucional de documento digitales de acceso abierto de la UTP instname:Universidad Tecnológica de Panamá instacron:U Tecnológica de Panamá |
| dc.subject.none.fl_str_mv | Descriptor generation Computer vision Semantic localization Robotics Descriptor generation Computer vision Semantic localization Robotics |
| dc.title.none.fl_str_mv | Computing Image Descriptors from Annotations Acquired from External Tools |
| dc.type.none.fl_str_mv | info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
| description | Visual descriptors are widely used in several recognition and classification tasks in robotics. The main challenge for these tasks is to find a descriptor that could represent the image content without losing representative information of the image. Nowadays, there exists a wide range of visual descriptors computed with computer vision techniques and different pooling strategies. This paper proposes a novel way for building image descriptors using an external tool, namely: Clarifai. This is a remote web tool that allows to automatically describe an input image using semantic tags, and these tags are used to generate our descriptor. The descriptor generation procedure has been tested in the ViDRILO dataset, where it has been compared and merged with some well-known descriptors. Moreover, subset variable selection techniques have been evaluated. The experimental results show that our descriptor is competitive in classification tasks with the results obtained with other kind of descriptors. |
| eu_rights_str_mv | embargoedAccess |
| format | article |
| id | lrtest_7983f3ab433ad4d13dcee71699ff1c5b |
| instacron_str | U Tecnológica de Panamá |
| institution | U Tecnológica de Panamá |
| instname_str | Universidad Tecnológica de Panamá |
| language | eng |
| language_invalid_str_mv | en |
| network_acronym_str | lrtest |
| network_name_str | lr |
| oai_identifier_str | oai:ridda2.utp.ac.pa:123456789/9437 |
| publishDate | 2019 |
| publishDateSort | 2019 |
| reponame_str | Repositorio Institucional de documento digitales de acceso abierto de la UTP |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Computing Image Descriptors from Annotations Acquired from External ToolsRangel, José CarlosCazorla, MiguelGarcía Varea, IsmaelMartínez Gómez, JesusFromont, ÉlisaSebban, MarcDescriptor generationComputer visionSemantic localizationRoboticsDescriptor generationComputer visionSemantic localizationRoboticsVisual descriptors are widely used in several recognition and classification tasks in robotics. The main challenge for these tasks is to find a descriptor that could represent the image content without losing representative information of the image. Nowadays, there exists a wide range of visual descriptors computed with computer vision techniques and different pooling strategies. This paper proposes a novel way for building image descriptors using an external tool, namely: Clarifai. This is a remote web tool that allows to automatically describe an input image using semantic tags, and these tags are used to generate our descriptor. The descriptor generation procedure has been tested in the ViDRILO dataset, where it has been compared and merged with some well-known descriptors. Moreover, subset variable selection techniques have been evaluated. The experimental results show that our descriptor is competitive in classification tasks with the results obtained with other kind of descriptors.Visual descriptors are widely used in several recognition and classification tasks in robotics. The main challenge for these tasks is to find a descriptor that could represent the image content without losing representative information of the image. Nowadays, there exists a wide range of visual descriptors computed with computer vision techniques and different pooling strategies. This paper proposes a novel way for building image descriptors using an external tool, namely: Clarifai. This is a remote web tool that allows to automatically describe an input image using semantic tags, and these tags are used to generate our descriptor. The descriptor generation procedure has been tested in the ViDRILO dataset, where it has been compared and merged with some well-known descriptors. Moreover, subset variable selection techniques have been evaluated. The experimental results show that our descriptor is competitive in classification tasks with the results obtained with other kind of descriptors.2019-12-17T20:27:37Z2019-12-17T20:27:37Z2019-12-17T20:27:37Z2019-12-17T20:27:37Z11/28/201511/28/2015info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttps://link.springer.com/chapter/10.1007/978-3-319-27149-1_52https://ridda2.utp.ac.pa/handle/123456789/9437https://ridda2.utp.ac.pa/handle/123456789/9437engeninfo:eu-repo/semantics/embargoedAccessreponame:Repositorio Institucional de documento digitales de acceso abierto de la UTPinstname:Universidad Tecnológica de Panamáinstacron:U Tecnológica de Panamáoai:ridda2.utp.ac.pa:123456789/94372021-07-06T15:35:10Z |
| spellingShingle | Computing Image Descriptors from Annotations Acquired from External Tools Rangel, José Carlos Descriptor generation Computer vision Semantic localization Robotics Descriptor generation Computer vision Semantic localization Robotics |
| status_str | publishedVersion |
| title | Computing Image Descriptors from Annotations Acquired from External Tools |
| title_full | Computing Image Descriptors from Annotations Acquired from External Tools |
| title_fullStr | Computing Image Descriptors from Annotations Acquired from External Tools |
| title_full_unstemmed | Computing Image Descriptors from Annotations Acquired from External Tools |
| title_short | Computing Image Descriptors from Annotations Acquired from External Tools |
| title_sort | Computing Image Descriptors from Annotations Acquired from External Tools |
| topic | Descriptor generation Computer vision Semantic localization Robotics Descriptor generation Computer vision Semantic localization Robotics |
| url | https://link.springer.com/chapter/10.1007/978-3-319-27149-1_52 https://ridda2.utp.ac.pa/handle/123456789/9437 |