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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPAW/3MCCQ48
Repositorysid.inpe.br/sibgrapi/2016/09.02.10.31
Last Update2016:09.02.10.31.39 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2016/09.02.10.31.39
Metadata Last Update2022:05.18.22.21.09 (UTC) administrator
Citation KeyFreitasGoMaSaBoPi:2016:UsCoFi
TitleUsing Color for Fish Species Classification
FormatOn-line
Year2016
Access Date2024, May 01
Number of Files1
Size5331 KiB
2. Context
Author1 Freitas, Ueliton
2 Gonçalves, Wesley Nunes
3 Matsubara, Edson Takashi
4 Sabino, Jose
5 Borth, Marcelo Rafael
6 Pistori, Hemerson
Affiliation1 Federal Univivesity of Mato Grosso do Sul (campus Campo Grande)
2 Federal Univivesity of Mato Grosso do Sul (campus Ponta Porã)
3 Federal Univivesity of Mato Grosso do Sul (campus Campo Grande)
4 Anhaguera University - Uniderp
5 Federal Institute of Parana - IFPR
6 Dom Bosco Catholic University - UCDB
EditorAliaga, Daniel G.
Davis, Larry S.
Farias, Ricardo C.
Fernandes, Leandro A. F.
Gibson, Stuart J.
Giraldi, Gilson A.
Gois, João Paulo
Maciel, Anderson
Menotti, David
Miranda, Paulo A. V.
Musse, Soraia
Namikawa, Laercio
Pamplona, Mauricio
Papa, João Paulo
Santos, Jefersson dos
Schwartz, William Robson
Thomaz, Carlos E.
e-Mail Addressmarceloborth@gmail.com
Conference NameConference on Graphics, Patterns and Images, 29 (SIBGRAPI)
Conference LocationSão José dos Campos, SP, Brazil
Date4-7 Oct. 2016
PublisherSociedade Brasileira de Computação
Publisher CityPorto Alegre
Book TitleProceedings
Tertiary TypeIndustry Application Paper
History (UTC)2016-09-02 10:31:39 :: marceloborth@gmail.com -> administrator ::
2022-05-18 22:21:09 :: administrator -> :: 2016
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
KeywordsFish Species Classification
Bag of Visual Words
Color images
Computer Vision
AbstractThis paper presents an application dedicated to mobile devices whose objective is to classify fish species, using images and concepts of Computer Vision and Artificial Intelligence. The application was developed to Android smartphones with the help of OpenCV Computer Vision library for classification and training phases. The techniques employed in the description of the images are based on Bag of Visual Words applied to color images. They are: HSV and RGB color histograms, Bag of Visual Words, Bag of Features and Colors, Bag of Colors and Bag of Colored Words (BoCW). For the species classification, three types of classifiers was used: Support Vector Machine (SVM), Decision Tree and K-Nearest Neighbors algorithm (KNN). In the experiments several parameters for all the classifiers were tested in order to find the best results for classification. To compare the performance of the feature extraction techniques, as well as the classifiers, the metrics F-Score were used as the main metric and the Area Under the Curve (AUC) as an auxiliary metric. The technique with best result was BoC using the SVM classifier.
Arrangementurlib.net > SDLA > Fonds > SIBGRAPI 2016 > Using Color for...
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPAW/3MCCQ48
zipped data URLhttp://urlib.net/zip/8JMKD3MGPAW/3MCCQ48
Languageen
Target FilePaper.pdf
User Groupmarceloborth@gmail.com
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPAW/3M2D4LP
Citing Item Listsid.inpe.br/sibgrapi/2016/07.02.23.50 4
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination doi edition electronicmailaddress group isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url versiontype volume


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