Image retrieval based on texture and color method in BTC-VQ compressed domain

  title={Image retrieval based on texture and color method in BTC-VQ compressed domain},
  author={Mahdi Rezaei and Mohammad Reza Sarshar},
  journal={2007 9th International Symposium on Signal Processing and Its Applications},
Because of high volume of graphic information, the retrieval of compressed images is one of the needs of information era. One of the rapid methods for image compression which has the capability to maintain important information of images for retrieval is Block Truncation Coding (BTC). In this article a new method for retrieval of images compressed by BTC has been provided. This method has been examined on a database consisting of 9983 images with different contents and its results have been… CONTINUE READING
Highly Cited
This paper has 28 citations. REVIEW CITATIONS


Publications referenced by this paper.
Showing 1-10 of 11 references

Color Image Coding and Indexing using BTC

  • G. Qiu
  • IEEE Transactions on Image Processing,
  • 2003
3 Excerpts

Progressive Image Search”, Image Database: Search and Retrieval of Digital Imagery

  • S. Pachanathan, ”Compressed
  • 2002
1 Excerpt

Ballard,”Color indexing

  • D.H.M.J. Swain
  • International Journal of Computer Vision, pp
  • 1991
3 Excerpts

Absolute moment block truncation coding and its application to colour images

  • M. D. Lema, O. R. Mitchell
  • IEEE Transaction on Communications,
  • 1984
1 Excerpt

Similar Papers

Loading similar papers…