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.

References

  1. A. Khotanzad (1990). Invariant image recognition by zernike moments. IEEE Trans. on Patt.Anal.and Mach. Intell., 12(5):489-497.
  2. G. Taubin, D.B. Cooper (1991). Recognition and positioning of rigid objects using algebraic moment invariants. In SPIE Conf. On Geometric Methods in Computer Vision, volume 1570, pages 175-186.
  3. M.J. Swain, D.H. Ballard (1991). Color indexing. International Journal of Computer Vision, 7(1):11-32.
  4. M.S. Lew (2001). Principles of Visual Information Retrieval. Springer-Varlag, London.
  5. M. Stricker, M. Orengo (1995). Similarity of color images. In SPIE Storage and Retrieval for Image and Video Databases III, volume 2185, pages 381-392.
  6. T. Gevers, A.W.M. Smeulders (1999). Colour based object recognition. Pattern Recognition, 32:453-464.
  7. W. Niblack et all. (1993). Querying images by content, using color, texture, and shape. SPIE Conference on Storage and Retrieval for Image and Video Database, 1908:173-187.
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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