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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.)

Comparative study of global color and texture descriptors for web image retrieval

Full text
Author(s):
Penatti, Otavio A. B. [1] ; Valle, Eduardo [1, 2] ; Torres, Ricardo da S. [1]
Total Authors: 3
Affiliation:
[1] Univ Campinas UNICAMP, RECOD Lab, Inst Comp IC, Campinas, SP - Brazil
[2] Univ Campinas Unicamp, Sch Elect & Comp Engn FEEC, Dept Comp Engn & Ind Automat DCA, Campinas, SP - Brazil
Total Affiliations: 2
Document type: Journal article
Source: JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION; v. 23, n. 2, p. 359-380, FEB 2012.
Web of Science Citations: 94
Abstract

This paper presents a comparative study of color and texture descriptors considering the Web as the environment of use. We take into account the diversity and large-scale aspects of the Web considering a large number of descriptors (24 color and 28 texture descriptors, including both traditional and recently proposed ones). The evaluation is made on two levels: a theoretical analysis in terms of algorithms complexities and an experimental comparison considering efficiency and effectiveness aspects. The experimental comparison contrasts the performances of the descriptors in small-scale datasets and in a large heterogeneous database containing more than 230 thousand images. Although there is a significant correlation between descriptors performances in the two settings, there are notable deviations, which must be taken into account when selecting the descriptors for large-scale tasks. An analysis of the correlation is provided for the best descriptors, which hints at the best opportunities of their use in combination. (C) 2011 Elsevier Inc. 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: 07/52015-0 - Approximation methods for visual computing
Grantee:Jorge Stolfi
Support Opportunities: Research Projects - Thematic Grants
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: 09/18438-7 - Large-scale classification and retrieval for complex data
Grantee:Ricardo da Silva Torres
Support Opportunities: Regular Research Grants