A recommendation system for paintings using bag of keypoints and dominant color descriptors

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dc.contributor.authorRibani R.
dc.contributor.authorMarengoni M.
dc.date.accessioned2024-03-13T00:59:13Z
dc.date.available2024-03-13T00:59:13Z
dc.date.issued2015
dc.description.abstractDetermining the visual description for a painting is an interesting task that can be used in different applications, like retrieval, classification and recommendation. A painting can differ from others depending on the time period it was painted, the genre and the art movement the author lived. This paper present an approach for content based image retrieval applied to art paintings using the concept of bag of keypoints and SURF detector. A descriptor for dominant color is also used and weighted for a best visual retrieval.
dc.description.firstpage321
dc.description.lastpage327
dc.description.volume2
dc.identifier.doi10.5220/0005297603210327
dc.identifier.urihttps://dspace.mackenzie.br/handle/10899/36312
dc.relation.ispartofVISAPP 2015 - 10th International Conference on Computer Vision Theory and Applications; VISIGRAPP, Proceedings
dc.rightsAcesso Aberto
dc.subject.otherlanguageArt paintings
dc.subject.otherlanguageBag of keypoints
dc.subject.otherlanguageDominant color descriptor
dc.subject.otherlanguageImage retrieval
dc.subject.otherlanguageRecommendation
dc.subject.otherlanguageSURF
dc.titleA recommendation system for paintings using bag of keypoints and dominant color descriptors
dc.typeArtigo de evento
local.scopus.citations0
local.scopus.eid2-s2.0-84939478261
local.scopus.subjectArt paintings
local.scopus.subjectBag of keypoints
local.scopus.subjectDominant color descriptors
local.scopus.subjectRecommendation
local.scopus.subjectSURF
local.scopus.updated2024-05-01
local.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84939478261&origin=inward
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