loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Boguslaw Cyganek 1 and Kazimierz Wiatr 2

Affiliations: 1 AGH University of Science and Technology, Poland ; 2 Academic Computer Center Cyfronet AGH, Poland

Keyword(s): Image indexing, Clustering, One-class SVM, Ensemble of classifiers.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Computational Intelligence ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Image Processing and Artificial Vision Applications ; Methodologies and Methods ; Neural Networks ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Signal Processing ; Soft Computing ; Support Vector Machines and Applications ; Theory and Methods

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.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.217.194.39

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
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 (IJCCI 2011) - NCTA; ISBN 978-989-8425-84-3, SciTePress, pages 277-282. DOI: 10.5220/0003684002770282

@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 (IJCCI 2011) - NCTA},
year={2011},
pages={277-282},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003684002770282},
isbn={978-989-8425-84-3},
}

TY - CONF

JO - Proceedings of the International Conference on Neural Computation Theory and Applications (IJCCI 2011) - NCTA
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
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic