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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPAW/3PFU6MS
Repositorysid.inpe.br/sibgrapi/2017/08.22.12.58
Last Update2017:08.22.12.58.02 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2017/08.22.12.58.02
Metadata Last Update2022:06.14.00.09.04 (UTC) administrator
DOI10.1109/SIBGRAPI.2017.45
Citation KeyMattosFerSilRivBra:2017:AsTeDe
TitleAssessing Texture Descriptors for Seismic Image Retrieval
FormatOn-line
Year2017
Access Date2024, Apr. 28
Number of Files1
Size575 KiB
2. Context
Author1 Mattos, Andrea Britto
2 Ferreira, Rodrigo S.
3 Silva, Reinaldo M. da Gama e
4 Riva, Mateus
5 Brazil, Emilio Vital
Affiliation1 IBM Research
2 IBM Research
3 IBM Research
4 IME-USP
5 IBM Research
EditorTorchelsen, 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 Addressabritto@br.ibm.com
Conference NameConference on Graphics, Patterns and Images, 30 (SIBGRAPI)
Conference LocationNiterói, RJ, Brazil
Date17-20 Oct. 2017
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2017-08-22 12:58:02 :: abritto@br.ibm.com -> administrator ::
2022-06-14 00:09:04 :: administrator -> :: 2017
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
Keywordsimage retrieval
seismic
AbstractMuch work has been done on the assessment of texture descriptors for image retrieval in many domains. In this work, we evaluate the accuracy and performance of three well-known texture descriptors -- Gabor Filters, GLCM, and LBP -- for seismic image retrieval. These subsurface images pose challenges yet not thoroughly investigated in previous works, which are addressed and evaluated in our experiments. We asked for domain experts to annotate two seismic cubes, Penobscot 3D and Netherlands F3, and used them to evaluate texture descriptors, corresponding parameters, and similarity metrics with the potential to retrieve visually similar regions of the considered datasets. While GLCM is used in the vast majority of works in this area, our findings indicate that LBP has the potential to produce satisfying results with lower computational cost.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2017 > Assessing Texture Descriptors...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Assessing Texture Descriptors...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Content
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPAW/3PFU6MS
zipped data URLhttp://urlib.net/zip/8JMKD3MGPAW/3PFU6MS
Languageen
Target FileAssessing Texture Descriptors for Seismic Image Retrieval.pdf
User Groupabritto@br.ibm.com
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPAW/3PKCC58
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2017/09.12.13.04 6
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination 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 volume


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