Identity statement area | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Identifier | 8JMKD3MGPAW/3PJ6MCH |
Repository | sid.inpe.br/sibgrapi/2017/09.05.02.31 |
Last Update | 2017:09.11.23.33.15 emarco.pereira@dcc.ufmg.br |
Metadata | sid.inpe.br/sibgrapi/2017/09.05.02.31.10 |
Metadata Last Update | 2020:02.20.22.06.47 administrator |
Citation Key | PereiraSant:2017:ImReLe |
Title | Image representation learning by color quantization optimization  |
Format | On-line |
Year | 2017 |
Date | Oct. 17-20, 2017 |
Access Date | 2021, Jan. 21 |
Number of Files | 1 |
Size | 3513 KiB |
Context area | |
Author | 1 Pereira, Érico Marco Dias Alves 2 dos Santos, Jefersson Alex |
Affiliation | 1 Universidade Federal de Minas Gerais 2 Universidade Federal de Minas Gerais |
Editor | Torchelsen, Rafael Piccin Nascimento, Erickson Rangel do Panozzo, Daniele Liu, Zicheng Farias, Mylène Viera, Thales Sacht, Leonardo Ferreira, Nivan Comba, João Luiz Dihl Hirata, Nina Schiavon Porto, Marcelo Vital, Creto Pagot, Christian Azambuja Petronetto, Fabiano Clua, Esteban Cardeal, Flávio |
e-Mail Address | emarco.pereira@dcc.ufmg.br |
Conference Name | Conference on Graphics, Patterns and Images, 30 (SIBGRAPI) |
Conference Location | Niterói, RJ |
Book Title | Proceedings |
Publisher | Sociedade Brasileira de Computação |
Publisher City | Porto Alegre |
Tertiary Type | Undergraduate Work |
History | 2017-09-05 02:31:10 :: emarco.pereira@dcc.ufmg.br -> administrator :: 2017-09-09 18:59:05 :: administrator -> emarco.pereira@dcc.ufmg.br :: 2017 2017-09-11 23:33:16 :: emarco.pereira@dcc.ufmg.br -> administrator :: 2017 2020-02-20 22:06:47 :: administrator -> :: 2017 |
Content and structure area | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Keywords | representation learning, color quantization, CBIR, genetic algorithm, feature extraction. |
Abstract | The state-of-art methods of representation learning, based on Deep Neural Networks, present serious drawbacks regarding usage complexity and resources consumption, leaving space for simpler alternatives. We proposed two approaches of a Representation Learning method which aims to provide more effective and compact image representations by optimizing the colour quantization for the image domain. Our hypothesis is that changes in the quantization affect the description quality of the features enabling representation improvements. We evaluated the method performing experiments for the task of Content-Based Image Retrieval on eight known datasets. The results showed that the first approach, focused on representation effectiveness, produced representations that outperforms the baseline in all the tested scenarios. And the second, focused on compactness, was able to produce superior results maintaining or even reducing the dimensionality and representations until 25% smaller that presented statistically equivalent performance. |
source Directory Content | Pereira_DosSantos_2017.pdf | 04/09/2017 23:31 | 3.4 MiB | |
agreement Directory Content | |
Conditions of access and use area | |
data URL | http://urlib.net/rep/8JMKD3MGPAW/3PJ6MCH |
zipped data URL | http://urlib.net/zip/8JMKD3MGPAW/3PJ6MCH |
Language | en |
Target File | Pereira_DosSantos_2017.pdf |
User Group | emarco.pereira@dcc.ufmg.br |
Visibility | shown |
Update Permission | not transferred |
Allied materials area | |
Mirror Repository | sid.inpe.br/banon/2001/03.30.15.38.24 |
Next Higher Units | 8JMKD3MGPAW/3PJT9LS 8JMKD3MGPAW/3PKCC58 |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
Notes area | |
Empty Fields | accessionnumber archivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination doi edition electronicmailaddress group holdercode isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url versiontype volume |
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