Evaluation of color descriptors in natural images at various resolutions aided by a visualization tool

• Grant number: 10/19159-1
• Support Opportunities: Scholarships in Brazil - Scientific Initiation
• Start date: March 01, 2011
• End date: February 29, 2012
• Field of knowledge: Physical Sciences and Mathematics - Computer Science - Computing Methodologies and Techniques
• Principal Investigator: Moacir Antonelli Ponti
• Grantee: Camila Tatiana Picon
• Host Institution: Instituto de Ciências Matemáticas e de Computação (ICMC). Universidade de São Paulo (USP). São Carlos , SP, Brazil

Abstract

Color descriptors are widely used in image pattern recognition, especially in applications of computer vision and content-based image retrieval. It is important to use descriptors with invariance to illumination, affine transformations, occlusion and that are robust to noise. Some studies were performed to determine and confirm these properties. This project aims the development and performance evaluation of color image descriptors when processed from images of various resolutions. Two databases of natural images are used to evaluate the performance of each type of color descriptor with images of different resolutions. The results are analysed by confusion matrices and accuracy rate, aided by a visualization tool to assist the image classification tasks. The results obtained can contribute on the selection of lower resolutions of images for various applications and a consequent improvement in the computational cost.

Scientific publications

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

PONTI, MOACIR; PICON, CAMILA T.; IEEE. COLOR DESCRIPTION OF LOW RESOLUTION IMAGES USING FAST BITWISE QUANTIZATION AND BORDER-INTERIOR CLASSIFICATION. 2015 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING (ICASSP), v. N/A, p. 5-pg., 2015-01-01. (11/22749-8, 10/19159-1)