NDLI: Colour for image retrieval and image browsing

Content Provider	IEEE Xplore Digital Library
Author	Schaefer, G.
Copyright Year	2011
Description	Author affiliation: Loughborough University, Loughborough, U.K. (Schaefer, G.)
Abstract	Content-based image retrieval, which is based on the principle of extracting image features and visual similarity based on these features, has been an active research area for the last two decades. While several kinds of features can be used for retrieval, colour features are the most widely and most successfully employed, and are hence at the heart of various image retrieval engines. However, it is also known that colour is not a stable image cue as it depends on various confounding factors including scene illumination and device characteristics. In this paper we present solutions to this problem in the form of colour invariant features, i.e. features that do not change with a change of light, putting particular emphasis on colour invariance for uncalibrated images. We then look at the use of colour not for direct retrieval, but for image database visualisation and navigation, and present some colour-based image browsing systems which allow for intuitive and efficient exploration of large image repositories.
Starting Page	1
Ending Page	3
File Size	214576
Page Count	3
File Format	PDF
ISBN	9781612849492
ISSN	13342630
e-ISBN	9789537044121
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-09-14
Publisher Place	Croatia
Access Restriction	Subscribed
Rights Holder	ELMAR (Electronics in Marines)
Subject Keyword	Visualization Histograms Image color analysis Navigation Image databases Image retrieval content-based image retrieval colour invariants image browsing Indexing
Content Type	Text
Resource Type	Article

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