MOMENT BASED FEATURES FOR CONTENT BASED IMAGE RETRIEVAL

Ryszard S. Choraś

2005

Abstract

Content based information retrieval is now a widely investigated issue that aims at allowing users of multimedia information systems to retrieve images coherent with a sample image. A way to achieve this goal is the automatic computation of features such as color, texture, shape, and position of objects within images, and the use of the features as query terms. In this paper we describe some results of a study on similarity evaluation in image retrieval using shape, texture, color and object orientation and relative position as content features. Images are retrieval based on similarity of features where features of the query specification are compared with features of the image database to determine which images match similar with the given features. Feature extraction is a crucial part for any of such retrieval systems.

Paper Citation

in Harvard Style

S. Choraś R. (2005). MOMENT BASED FEATURES FOR CONTENT BASED IMAGE RETRIEVAL . In Proceedings of the Second International Conference on Informatics in Control, Automation and Robotics - Volume 4: ICINCO, ISBN 972-8865-30-9, pages 395-398. DOI: 10.5220/0001166303950398

in Bibtex Style

@conference{icinco05,
author={Ryszard S. Choraś},
title={MOMENT BASED FEATURES FOR CONTENT BASED IMAGE RETRIEVAL},
booktitle={Proceedings of the Second International Conference on Informatics in Control, Automation and Robotics - Volume 4: ICINCO,},
year={2005},
pages={395-398},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001166303950398},
isbn={972-8865-30-9},
}

in EndNote Style

TY - CONF
JO - Proceedings of the Second International Conference on Informatics in Control, Automation and Robotics - Volume 4: ICINCO,
TI - MOMENT BASED FEATURES FOR CONTENT BASED IMAGE RETRIEVAL
SN - 972-8865-30-9
AU - S. Choraś R.
PY - 2005
SP - 395
EP - 398
DO - 10.5220/0001166303950398