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Published Articles >> Table of Contents >> Abstract
2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'01) - Volume 1
p. 702
Spatial Information in Multiresolution Histograms
E. Hadjidemetriou, Columbia University
M. D. Grossberg, Columbia University
S. K. Nayar, Columbia University
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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CVPR.2001.990544
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| Abstract |
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Intensity histograms have been used extensively for recognition
and for retrieval of images and video from visual
databases. Intensity histograms of images at different individual
resolutions have also been used for indexing. They
suffer, however, from the inability to encode spatial image
information. Spatial information can be incorporated into
histograms simply by taking histograms of an image at multiple
resolutions together to form a multiresolution histogram.
Multiresolution histograms can also be computed, stored,
and matched efficiently. In this work we analyze and quantify
the relation and sensitivity of the multiresolution histogramto
spatial image information as well as to properties of shapes
and textures in an image. We verify the analytical results experimentally.
We demonstrate the ability of multiresolution
histograms to discriminate between images, as well as their
robustness to noise.
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 Additional Information
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Citation:
E. Hadjidemetriou, M. D. Grossberg, S. K. Nayar,
"Spatial Information in Multiresolution Histograms,"
cvpr,
p. 702,
2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'01) - Volume 1,
2001
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