Adaptive committees of feature-specific classifiers for image classification

Tiziano Fagni, Fabrizio Falchi, Fabrizio Sebastiani

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

We present a system for image classification based on an adaptive committee of five classifiers, each specialized on classifying images based on a single MPEG-7 feature. We test four different ways to set up such a committee, and obtain important accuracy improvements with respect to a baseline in which a single classifier, working an all five features at the same time, is employed.

Original languageEnglish
Title of host publicationProceedings of the 2nd International Workshop on Image Mining Theory and Applications, IMTA 2009 In Conjunction with VISIGRAPP 2009
Pages113-122
Number of pages10
Publication statusPublished - 2009
Externally publishedYes
Event2nd International Workshop on Image Mining Theory and Applications, IMTA 2009 In Conjunction with VISIGRAPP 2009 - Lisboa
Duration: 7 Feb 20097 Feb 2009

Other

Other2nd International Workshop on Image Mining Theory and Applications, IMTA 2009 In Conjunction with VISIGRAPP 2009
CityLisboa
Period7/2/097/2/09

Fingerprint

Image classification
Classifiers

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Science Applications
  • Computer Vision and Pattern Recognition

Cite this

Fagni, T., Falchi, F., & Sebastiani, F. (2009). Adaptive committees of feature-specific classifiers for image classification. In Proceedings of the 2nd International Workshop on Image Mining Theory and Applications, IMTA 2009 In Conjunction with VISIGRAPP 2009 (pp. 113-122)

Adaptive committees of feature-specific classifiers for image classification. / Fagni, Tiziano; Falchi, Fabrizio; Sebastiani, Fabrizio.

Proceedings of the 2nd International Workshop on Image Mining Theory and Applications, IMTA 2009 In Conjunction with VISIGRAPP 2009. 2009. p. 113-122.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Fagni, T, Falchi, F & Sebastiani, F 2009, Adaptive committees of feature-specific classifiers for image classification. in Proceedings of the 2nd International Workshop on Image Mining Theory and Applications, IMTA 2009 In Conjunction with VISIGRAPP 2009. pp. 113-122, 2nd International Workshop on Image Mining Theory and Applications, IMTA 2009 In Conjunction with VISIGRAPP 2009, Lisboa, 7/2/09.
Fagni T, Falchi F, Sebastiani F. Adaptive committees of feature-specific classifiers for image classification. In Proceedings of the 2nd International Workshop on Image Mining Theory and Applications, IMTA 2009 In Conjunction with VISIGRAPP 2009. 2009. p. 113-122
Fagni, Tiziano ; Falchi, Fabrizio ; Sebastiani, Fabrizio. / Adaptive committees of feature-specific classifiers for image classification. Proceedings of the 2nd International Workshop on Image Mining Theory and Applications, IMTA 2009 In Conjunction with VISIGRAPP 2009. 2009. pp. 113-122
@inproceedings{b8fc993391ae415497ba2a5f66008eeb,
title = "Adaptive committees of feature-specific classifiers for image classification",
abstract = "We present a system for image classification based on an adaptive committee of five classifiers, each specialized on classifying images based on a single MPEG-7 feature. We test four different ways to set up such a committee, and obtain important accuracy improvements with respect to a baseline in which a single classifier, working an all five features at the same time, is employed.",
author = "Tiziano Fagni and Fabrizio Falchi and Fabrizio Sebastiani",
year = "2009",
language = "English",
isbn = "9789898111425",
pages = "113--122",
booktitle = "Proceedings of the 2nd International Workshop on Image Mining Theory and Applications, IMTA 2009 In Conjunction with VISIGRAPP 2009",

}

TY - GEN

T1 - Adaptive committees of feature-specific classifiers for image classification

AU - Fagni, Tiziano

AU - Falchi, Fabrizio

AU - Sebastiani, Fabrizio

PY - 2009

Y1 - 2009

N2 - We present a system for image classification based on an adaptive committee of five classifiers, each specialized on classifying images based on a single MPEG-7 feature. We test four different ways to set up such a committee, and obtain important accuracy improvements with respect to a baseline in which a single classifier, working an all five features at the same time, is employed.

AB - We present a system for image classification based on an adaptive committee of five classifiers, each specialized on classifying images based on a single MPEG-7 feature. We test four different ways to set up such a committee, and obtain important accuracy improvements with respect to a baseline in which a single classifier, working an all five features at the same time, is employed.

UR - http://www.scopus.com/inward/record.url?scp=67650548640&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=67650548640&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:67650548640

SN - 9789898111425

SP - 113

EP - 122

BT - Proceedings of the 2nd International Workshop on Image Mining Theory and Applications, IMTA 2009 In Conjunction with VISIGRAPP 2009

ER -