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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Visual word spatial arrangement for image retrieval and classification

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Author(s):
Penatti, Otavio A. B. [1] ; Silva, Fernanda B. [1] ; Valle, Eduardo [1, 2] ; Gouet-Brunet, Valerie [3, 4] ; Torres, Ricardo da S. [1]
Total Authors: 5
Affiliation:
[1] Univ Campinas UNICAMP, Inst Comp, RECOD Lab, BR-13083852 Campinas, SP - Brazil
[2] Univ Campinas Unicamp, Sch Elect & Comp Engn FEEC, Dept Comp Engn & Ind Automat DCA, BR-13083852 Campinas, SP - Brazil
[3] Paris Est Univ, IGN SR, MATIS Lab, F-94160 St Mande - France
[4] CNAM, CEDRIC Lab, F-75141 Paris 03 - France
Total Affiliations: 4
Document type: Journal article
Source: PATTERN RECOGNITION; v. 47, n. 2, p. 705-720, FEB 2014.
Web of Science Citations: 50
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. (C) 2013 Elsevier Ltd. All rights reserved. (AU)

FAPESP's process: 09/05951-8 - High-dimensional multimedia indexing: application to image and video retrieval
Grantee:Eduardo Alves Do Valle Junior
Support Opportunities: Scholarships in Brazil - Post-Doctoral
FAPESP's process: 09/10554-8 - Exploring Visual Dictionaries for Web Image Retrieval
Grantee:Otávio Augusto Bizetto Penatti
Support Opportunities: Scholarships in Brazil - Doctorate
FAPESP's process: 12/16172-2 - The Use of Graphs for Coding the Spatial Distribution of Visual Words and their use for Searching and Classification of Images in Large Collections
Grantee:Fernanda Brandão Silva
Support Opportunities: Scholarships in Brazil - Master