Combined colour and contour representation using anti-aliased histograms

Image databases require accurate colour image retrieval, minimal storage requirements, and fast query execution. Histograms have been used to compactly represent colour distributions providing low storage requirements and fast query execution. We propose the novel idea to also use histograms to repr...

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Bibliographic Details
Main Authors: Faichney, J., Gonzalez, R.
Format: Conference Proceeding
Language:English
Subjects:
Australia
Feature extraction
Gold
Histograms
Image databases
Image retrieval
Image storage
Information retrieval
Information technology
Postal services
Online Access:Request full text
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Summary:Image databases require accurate colour image retrieval, minimal storage requirements, and fast query execution. Histograms have been used to compactly represent colour distributions providing low storage requirements and fast query execution. We propose the novel idea to also use histograms to represent contour distributions. Our contour distribution approach is shown to perform as well as an exhaustive contour comparison approach. In addition, anti-aliased histograms also known as fuzzy histograms are applied to reduce the storage requirements and query times by a factor of four. Colour and contour similarities are combined to provide more accurate query results than either individual technique.
DOI:10.1109/ICOSP.2002.1181161