MCCV BASED IMAGE RETRIEVAL FOR ASTRONOMICAL IMAGES

S. Santhosh Baboo, P. Subashini, K. S. Easwarakumar

2006

Abstract

Content based image retrieval in astronomy, a technique that uses visual contents to search astronomical images from a large scale image databases according to the users interests, has been an active and fast advancing research area. Early techniques were not generally based on visual features but the textual annotation of images. In other words, images were first annotated with text and then searched using a text-based approach from traditional database management systems. Comprehensive surveys of early text-based image retrieval methods can be found. Text-based image retrieval uses traditional database techniques to manage images. Through text descriptions, images can be organized by topical or semantic hierarchies to facilitate easy navigation and browsing based on standard Boolean queries. The aim of this paper is to review the current state of the art in content-based image retrieval in astronomical images, a technique for retrieving astronomical images on the basis of color distributions. The paper highlights the various retrieval methods like color histogram, color coherence vector and multi scale color coherence vector. The findings are based on both review of the relevant literature and discussions with researchers and practitioners in this field.

References

  1. Golshani F and Dimitrova N A Language for content based Video Retrieval, Multimedia tools and applications 6, 1998 pp 289-312.
  2. M.C. Storrie-Lombardi, O. Lahav, L. Sodre and L.J. Storrie-Lombardi, Morphological Classification of Galaxies by Artificial Neural Networks, Monthly Notices of the Royal Astronomical Society 259, 1992.
  3. A.Adams and A.Woolley, Hubble Classification of Galaxies Using Neural Networks, Vistas in Astronomy 38, 1994.
  4. David Dupplaw, Paul Lewis, Mark Dobie, Spatial Colour Matching for Content Based Retrieval and Navigation, The Challenge of Image Retrieval, February 1999, Newcastle, UK.
  5. Guttman S (1984) In: Proceedings of the SIGMOD Conference, ACM, pp. 47-57.
  6. Stephen Chan and Kirk Martinez and Paul Lewis and C.Lahanier and J.Stevenson, Handling Sub-Image Queries in Content-Based Retrieval of High Resolution Art Images, International Cultural Heritage Informatics Meeting (ICHIM01),pp. 157-163 (2001).
  7. Paul Lewis, David Dupplaw and Kirk Martinez, ContentBased Multimedia Information Handling: Should we Stick to Metadata?, Cultivate Interactive Issue 6, February 2002,
  8. http://www.cultivate-int.org/issue6/retrieval/
  9. Mike Westmacott, Paul Lewis and Kirk Martinez, Using Colour Pair Patches for Image Retrieval, Proceedings of the First European Conference on Colour in Graphics, Imaging and Vision, 245-248, June 2002.
  10. Fazly. S. Abas, and Kirk Martinez, Craquelure Analysis for Content-Based Retrieval, Proceedings, of the 14th International Conference on Digital Signal Processing, July 2002.
  11. Mohammed F.A. Fauzi and Paul Lewis, Query by Fax for Content-Based Image Retrieval, Proceedings of International Conference CIVR 2002, London, July 2002, pages 91-99.
Download


Paper Citation


in Harvard Style

Santhosh Baboo S., Subashini P. and S. Easwarakumar K. (2006). MCCV BASED IMAGE RETRIEVAL FOR ASTRONOMICAL IMAGES . In Proceedings of WEBIST 2006 - Second International Conference on Web Information Systems and Technologies - Volume 1: WEBIST, ISBN 978-972-8865-46-7, pages 477-480. DOI: 10.5220/0001248504770480


in Bibtex Style

@conference{webist06,
author={S. Santhosh Baboo and P. Subashini and K. S. Easwarakumar},
title={MCCV BASED IMAGE RETRIEVAL FOR ASTRONOMICAL IMAGES},
booktitle={Proceedings of WEBIST 2006 - Second International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,},
year={2006},
pages={477-480},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001248504770480},
isbn={978-972-8865-46-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of WEBIST 2006 - Second International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,
TI - MCCV BASED IMAGE RETRIEVAL FOR ASTRONOMICAL IMAGES
SN - 978-972-8865-46-7
AU - Santhosh Baboo S.
AU - Subashini P.
AU - S. Easwarakumar K.
PY - 2006
SP - 477
EP - 480
DO - 10.5220/0001248504770480