Close
Metadata

1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPBW34M/3EEJQQH
Repositorysid.inpe.br/sibgrapi/2013/07.11.14.04
Last Update2013:07.11.23.20.39 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2013/07.11.14.04.18
Metadata Last Update2022:06.14.00.07.48 (UTC) administrator
DOI10.1109/SIBGRAPI.2013.49
Citation KeyPedrosaTrai:2013:BaBaUs
TitleFrom Bag-of-Visual-Words to Bag-of-Visual-Phrases using n-Grams
FormatOn-line.
Year2013
Access Date2024, May 05
Number of Files1
Size1698 KiB
2. Context
Author1 Pedrosa, Glauco Vitor
2 Traina, Agma Juci Machado
Affiliation1 University of Sao Paulo
2 University of Sao Paulo
EditorBoyer, Kim
Hirata, Nina
Nedel, Luciana
Silva, Claudio
e-Mail Addressglaucovitor@gmail.com
Conference NameConference on Graphics, Patterns and Images, 26 (SIBGRAPI)
Conference LocationArequipa, Peru
Date5-8 Aug. 2013
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2013-07-11 23:20:39 :: glaucovitor@gmail.com -> administrator :: 2013
2022-06-14 00:07:48 :: administrator -> :: 2013
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
Keywordsimage retrieval
bag-of-features
sift
keypoints
bag-of-words
AbstractThe Bag-of-Visual-Words has emerged as an effective modeling approach to represent local image features. It describes local image features by assigning them a visual word according to a visual dictionary. The image representation is given by the frequency of each visual word in the image, as a similar representation used in textual documents. In this paper, we present a novel approach building a high-level description using a group of words (phrases) for representing an image. We introduce the use of n-grams for image representation, based on the idea of "Bag-of-Visual-Phrases". In the field of computational linguistics, an n-gram is a phrase formed by a sequence of n-consecutive words. As analogy, we represent an image by a combination of n-consecutive visual words. We made representative experiments using three public benchmark databases of textures and nature scenes and two medical databases to demonstrate an area that can benefit from the proposed technique. Our proposed Bag-of-Visual-Phrases approach improved up to 44% the retrieval precision and up to 33% the classification rate compared to the traditional Bag-of-Visual-Words, being a valuable asset for content-based image retrieval and image classification.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2013 > From Bag-of-Visual-Words to...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > From Bag-of-Visual-Words to...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Content
agreement.html 11/07/2013 11:04 0.7 KiB 
4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPBW34M/3EEJQQH
zipped data URLhttp://urlib.net/zip/8JMKD3MGPBW34M/3EEJQQH
Languageen
Target FilePID2854877.pdf
User Groupglaucovitor@gmail.com
Visibilityshown
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPEW34M/46SLB4P
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.15.04.02 35
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage 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


Close