Close
Metadata

Identity statement area
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Identifier8JMKD3MGPAW/3PFU6MS
Repositorysid.inpe.br/sibgrapi/2017/08.22.12.58
Last Update2017:08.22.12.58.02 administrator
Metadatasid.inpe.br/sibgrapi/2017/08.22.12.58.02
Metadata Last Update2020:02.19.02.01.42 administrator
Citation KeyMattosFerSilRivBra:2017:AsTeDe
TitleAssessing Texture Descriptors for Seismic Image Retrieval
FormatOn-line
Year2017
DateOct. 17-20, 2017
Access Date2021, Jan. 21
Number of Files1
Size575 KiB
Context area
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
Book TitleProceedings
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Tertiary TypeFull Paper
History2017-08-22 12:58:02 :: abritto@br.ibm.com -> administrator ::
2020-02-19 02:01:42 :: administrator -> :: 2017
Content and structure area
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
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.
source Directory Contentthere are no files
agreement Directory Content
agreement.html 22/08/2017 09:58 1.2 KiB 
Conditions of access and use area
data URLhttp://urlib.net/rep/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
Allied materials area
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPAW/3PJT9LS
8JMKD3MGPAW/3PKCC58
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
Notes area
Empty Fieldsaccessionnumber archivingpolicy archivist area callnumber 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

Close