Combining Spatial and Colour Information for Content Based Image Retrieval

Heidemann G (2004)
Computer Vision and Image Understanding 94(1-3): 234-270.

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Zeitschriftenaufsatz | Veröffentlicht | Englisch
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Abstract / Bemerkung
Colour is one of the most important features in content based image retrieval. However, colour is rarely used as a feature that codes local spatial information, except for colour texture. This paper presents an approach to represent spatial colour distributions using local principal component analysis (PCA). The representation is based on image windows which are selected by two complementary data driven attentive mechanisms: a symmetry based saliency map and an edge and corner detector. The eigenvectors obtained from local PCA of the selected windows form colour patterns that capture both low and high spatial frequencies, so they are well suited for shape as well as texture representation. Projections of the windows selected from the image database to the local PCs serve as a compact representation for the search database. Queries are formulated by specifying windows within query images. System feedback makes both the search process and the results comprehensible for the user.
Erscheinungsjahr
Zeitschriftentitel
Computer Vision and Image Understanding
Band
94
Zeitschriftennummer
1-3
Seite
234-270
eISSN
PUB-ID

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Heidemann G. Combining Spatial and Colour Information for Content Based Image Retrieval. Computer Vision and Image Understanding. 2004;94(1-3):234-270.
Heidemann, G. (2004). Combining Spatial and Colour Information for Content Based Image Retrieval. Computer Vision and Image Understanding, 94(1-3), 234-270. doi:10.1016/j.cviu.2003.10.009
Heidemann, G. (2004). Combining Spatial and Colour Information for Content Based Image Retrieval. Computer Vision and Image Understanding 94, 234-270.
Heidemann, G., 2004. Combining Spatial and Colour Information for Content Based Image Retrieval. Computer Vision and Image Understanding, 94(1-3), p 234-270.
G. Heidemann, “Combining Spatial and Colour Information for Content Based Image Retrieval”, Computer Vision and Image Understanding, vol. 94, 2004, pp. 234-270.
Heidemann, G.: Combining Spatial and Colour Information for Content Based Image Retrieval. Computer Vision and Image Understanding. 94, 234-270 (2004).
Heidemann, Gunther. “Combining Spatial and Colour Information for Content Based Image Retrieval”. Computer Vision and Image Understanding 94.1-3 (2004): 234-270.