IMAGE CONTENTS ANNOTATIONS WITH THE ENSEMBLE OF ONE-CLASS SUPPORT VECTOR MACHINES

Boguslaw Cyganek, Kazimierz Wiatr

2011

Abstract

The paper presents a system for automatic image indexing based on color information. The main idea is to build a model which represents contents of a reference image in a form of an ensemble of properly trained classifiers. A reference image is first k-means segmented starting from the characteristic colors. Then, each partition is encoded by the one-class SVM. This way an ensemble of classifiers is obtained. During operation, a test image is classified by the ensemble which responds with a measure of similarity between the reference and test images. The experimental results show good performance of image indexing based on their characteristic colors.

Paper Citation

in Harvard Style

Cyganek B. and Wiatr K. (2011). IMAGE CONTENTS ANNOTATIONS WITH THE ENSEMBLE OF ONE-CLASS SUPPORT VECTOR MACHINES . In Proceedings of the International Conference on Neural Computation Theory and Applications - Volume 1: NCTA, (IJCCI 2011) ISBN 978-989-8425-84-3, pages 277-282. DOI: 10.5220/0003684002770282

in Bibtex Style

@conference{ncta11,
author={Boguslaw Cyganek and Kazimierz Wiatr},
title={IMAGE CONTENTS ANNOTATIONS WITH THE ENSEMBLE OF ONE-CLASS SUPPORT VECTOR MACHINES},
booktitle={Proceedings of the International Conference on Neural Computation Theory and Applications - Volume 1: NCTA, (IJCCI 2011)},
year={2011},
pages={277-282},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003684002770282},
isbn={978-989-8425-84-3},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Neural Computation Theory and Applications - Volume 1: NCTA, (IJCCI 2011)
TI - IMAGE CONTENTS ANNOTATIONS WITH THE ENSEMBLE OF ONE-CLASS SUPPORT VECTOR MACHINES
SN - 978-989-8425-84-3
AU - Cyganek B.
AU - Wiatr K.
PY - 2011
SP - 277
EP - 282
DO - 10.5220/0003684002770282