MPEG7 Standardization

People

Wei Ma, Peng Wu, Shawn Newsam, Baris Sumengen, B.S.Manjunath

Objective

MPEG-7 Homogeneous Texture Descriptor. MPEG-7 Demo demonstrate application of the MPEG-7 Homogeneous Texture Descriptor in retrieval.

Demo

The dataset consists of 54 large aerial images of the Santa Barbara, California, region. Each image is segmented into 1681 tiles using a rectangular grid. Each tile is a gray-scale image of size 128 by 128 pixels. There is a total of 90774 tiles in the dataset.

The Texture Descriptor is extracted from each tile. The descriptor is used to perform similarity based retrieval using a query-by-example paradigm and Euclidean distance.

» MPEG-7 Homogeneous Texture Descriptor Demo

Demo Instructions

  1. Select one of the large aerial images by clicking on "Browse Large Images".
  2. Click on an area of interest in the image. The chosen tile will appear in the top-left frame.
  3. Retrieve the tiles most similar to the selected tile by clicking on "SEARCH".
  4. Specify the number of retrievals in the "# Matches" box.
  5. START THE DEMO

Publications

These materials are presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each authors copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. MPEG7 reports B. S. Manjunath, P. Wu, S. Newsam and H.D. Shin, "A texture descriptor for browsing and similarity retrieval," Journal of Signal Processing: Image Communication, Volume 16, Issue 1-2, page 33-43, September 2000. [abstract] Wei-Ying Ma, Manjunath, B. S. Manjunath " A texture thesaurus for browsing large aerial photographs ", Journal of the American Society for Information Science, vol.49, (no.7), Wiley for ASIS, pp.633-48, May 1998. [abstract] B. S. Manjunath and W.Y. Ma, "Texture features for browsing and retrieval of image data", IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol.18, no.8, pp.837-42, Aug 1996. (corrections and derivation of Gabor filter dictionary parameters) [abstract] W. Y. Ma and B. S. Manjunath, "Texture features and learning similarity," Proc. IEEE International Conference on Computer Vision and Pattern Recognition, San Francisco, CA, pp. 425-430, June 1996. [abstract]

Acknowledgements

This work is funded in part by the Alexandria Digital Library project at the University of California, Santa Barbara, NSF IRI-94-11330, NSF grant IRI-97-0485, NSF #EIA-99-86057, NSF #EIA-00-80134 grants, Samsung Electronics Co, Office of Naval Research and China Lake Research Center.

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