Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/87426
Type: Artigo de periódico
Title: Visual Word Spatial Arrangement For Image Retrieval And Classification
Author: Penatti O.A.B.
Silva F.B.
Valle E.
Gouet-Brunet V.
Torres R.D.S.
Abstract: We present word spatial arrangement (WSA), an approach to represent the spatial arrangement of visual words under the bag-of-visual-words model. It lies in a simple idea which encodes the relative position of visual words by splitting the image space into quadrants using each detected point as origin. WSA generates compact feature vectors and is flexible for being used for image retrieval and classification, for working with hard or soft assignment, requiring no pre/post processing for spatial verification. Experiments in the retrieval scenario show the superiority of WSA in relation to Spatial Pyramids. Experiments in the classification scenario show a reasonable compromise between those methods, with Spatial Pyramids generating larger feature vectors, while WSA provides adequate performance with much more compact features. As WSA encodes only the spatial information of visual words and not their frequency of occurrence, the results indicate the importance of such information for visual categorization. © 2013 Elsevier Ltd.
Editor: 
Rights: fechado
Identifier DOI: 10.1016/j.patcog.2013.08.012
Address: http://www.scopus.com/inward/record.url?eid=2-s2.0-84887025007&partnerID=40&md5=f54a57c604d7759ce9e02309d789cd6b
Date Issue: 2014
Appears in Collections:Unicamp - Artigos e Outros Documentos

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