Image visualization based on MPEG-7 color descriptors

Thomas Meiers; H. Czernoch-Peters; L. Ihlenburg; Thomas Sikora

doi:10.1117/12.386687

30 May 2000 Image visualization based on MPEG-7 color descriptors

Thomas Meiers, H. Czernoch-Peters, L. Ihlenburg, Thomas Sikora

Proceedings Volume 4067, Visual Communications and Image Processing 2000; (2000) https://doi.org/10.1117/12.386687
Event: Visual Communications and Image Processing 2000, 2000, Perth, Australia

Abstract

In this paper we address the user-navigation through large volumes of image data. A similarity-measure based on MPEG-7 color histograms is introduced and Multidimensional Scaling concepts are employed to display images in two dimensions according to their mutual similarities. With such a view the user can easily see relations and color similarity between images and understand the structure of the data base. In order to cope with large volumes of images a modified version of k-means clustering technique is introduced which identifies representative image samples for each cluster. Representative images (up to 100) are then displayed in two dimensions using MDS structuring. The modified clustering technique proposed produces a hierarchical structure of clusters--similar to street maps with various resolutions of details. The user can zoom into various cluster levels to obtain more or less details if required. The results obtained verify the attractiveness of the approach for navigation and retrieval applications.

Citation Download Citation

Thomas Meiers, H. Czernoch-Peters, L. Ihlenburg, and Thomas Sikora "Image visualization based on MPEG-7 color descriptors", Proc. SPIE 4067, Visual Communications and Image Processing 2000, (30 May 2000); https://doi.org/10.1117/12.386687

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