A THREE-LAYER SYSTEM FOR IMAGE RETRIEVAL

Daidi Zhong, Irek Defée

Abstract

Visual patterns are composed of basic features forming well-defined structures and/or statistical distributions. Often, they always present simultaneously in visual images. This makes the problem of description and representation of visual patterns complicated. In this paper we proposed a hierarchical retrieval system, which is based on subimages and combinations of feature histograms, to efficiently combine structure and statistical information for retrieval tasks. We illustrate the results on face database retrieval problem. It is shown that proper selection of subimage and feature vectors can significantly improve the performance with minimized complexity.

References

  1. Chung, H.K., Jiyong, O., Chong-Ho, C., 2005. Combined Subspace Method Using Global and Local Features for Face Recognition. In IJCNN 2005.
  2. Ekenel, H.K., Sankur, B., 2004. Feature selection in the independent component subspace for face recognition. Pattern Recognition Letter, 25:1377-1388
  3. FERET Face Database, 2003. Available at: http://www.itl.nist.gov/iad/humanid/feret/.
  4. ISO/IEC 14496-2, 1999. Information Technology - Coding of Audio-Visual Objects - Part 2: Visual.
  5. ITU-T, 2003. Draft ITU-T Recommendation and Final Draft International Standard of Joint Video Specification (ITU-T Rec. H.264 | ISO/IEC 14496-10 AVC).
  6. Phillips, P.J., Moon, H., Rauss, P.J., Rizvi, S., 2000. The FERET evaluation methodology for face recognition algorithms. IEEE Pattern Analysis and Machine Intelligence, Vol. 22, No. 10.
  7. Roure, J., Faundez, Z.M., 2005. Face recognition with small and large size databases. In ICCST 2005.
  8. Shi, J., Samal, A., Marx, D., 2005. Face Recognition Using Landmark-Based Bidimensional Regression. In ICDM 2005.
  9. Shi, J., Samal, A., Marx, D., 2006. How Effective are Landmarks and Their Geometry for Face Recognition. Computer Vision and Image Understanding, 102(2):117-133
Download


Paper Citation


in Harvard Style

Zhong D. and Defée I. (2007). A THREE-LAYER SYSTEM FOR IMAGE RETRIEVAL . In Proceedings of the Second International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2007) ISBN 978-989-8111-13-5, pages 204-208. DOI: 10.5220/0002142702040208


in Bibtex Style

@conference{sigmap07,
author={Daidi Zhong and Irek Defée},
title={A THREE-LAYER SYSTEM FOR IMAGE RETRIEVAL},
booktitle={Proceedings of the Second International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2007)},
year={2007},
pages={204-208},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002142702040208},
isbn={978-989-8111-13-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Second International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2007)
TI - A THREE-LAYER SYSTEM FOR IMAGE RETRIEVAL
SN - 978-989-8111-13-5
AU - Zhong D.
AU - Defée I.
PY - 2007
SP - 204
EP - 208
DO - 10.5220/0002142702040208