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Improvement of histogram-based image retrieval and classification | IEEE Conference Publication | IEEE Xplore
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Improvement of histogram-based image retrieval and classification


Abstract:

Histogram-based techniques are commonly used in image retrieval ranging from basic color histograms to sophisticated histograms of various local feature vectors. Our appr...Show More

Abstract:

Histogram-based techniques are commonly used in image retrieval ranging from basic color histograms to sophisticated histograms of various local feature vectors. Our approach considers multidimensional histograms of locally invariant features. In order to get rid of the discontinuous behavior of traditional histograms we develop a fuzzy histogram which does no sharp assignment of a feature vector to one bin only but performs a weighted assignment to all neighboring bins. This improvement is not restricted to the kind of feature histograms considered here but could generally improve histogram-based retrieval or classification techniques.
Date of Conference: 11-15 August 2002
Date Added to IEEE Xplore: 10 December 2002
Print ISBN:0-7695-1695-X
Print ISSN: 1051-4651
Conference Location: Quebec City, QC, Canada

References

References is not available for this document.