Color and shape index for region-based image retrieval
Inhaltsverzeichnis
Referenz
Prasad, B.G., Gupta, S.K. and Biswas, K.K. (2001): Color and shape index for region-based image retrieval. Paper presented at the 4th International Workshop on Visual Form, 28–30 May.
DOI
http://dx.doi.org/10.1007/3-540-45129-3_66
Abstract
Most CBIR systems use low-level visual features for representation and retrieval of images. Generally such methods suffer from the problems of high-dimensionality leading to more computational time and inefficient indexing and retrieval performance. This paper focuses on a low-dimensional color and shape based indexing technique for achieving efficient and effective retrieval performance. We propose a combined index using color and shape features. A new shape similarity measure is proposed which is shown to be more effective. Images are indexed by dominant color regions and similar images form an image cluster stored in a hash structure. Each region within an image is further indexed by a region-based shape index. The shape index is invariant to translation, rotation and scaling. A JAVA based query engine supporting query-by- example is built to retrieve images by color and shape. The retrieval performance is studied and compared with a region-based shape indexing scheme.
Extended Abstract
Bibtex
@Inbook{Prasad2001,
author="Prasad, B.G. and Gupta, S.K. and Biswas, K.K.",
editor="Arcelli, Carlo and Cordella, Luigi P. and di Baja, Gabriella Sanniti",
title="Color and Shape Index for Region-Based Image Retrieval",
bookTitle="Visual Form 2001: 4th International Workshop on Visual Form, IWVF4 Capri, Italy, May 28--30, 2001 Proceedings",
year="2001",
publisher="Springer Berlin Heidelberg",
address="Berlin, Heidelberg",
pages="716--725",
isbn="978-3-540-45129-7",
doi="10.1007/3-540-45129-3_66",
url="http://dx.doi.org/10.1007/3-540-45129-3_66 http://de.evo-art.org/index.php?title=Color_and_shape_index_for_region-based_image_retrieval"
}
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