Abstract
The paper presents a framework for information retrieval in visual databases containing colour images. The concept of approximation-based keypoints is adapted to colour images; building and detection of such keypoints are explained in details. The issues of matching images are only briefly highlighted. Finally, the idea of higher-level keypoints is proposed.
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Sluzek, A. (2007). Approximation-Based Keypoints in Colour Images – A Tool for Building and Searching Visual Databases. In: Qiu, G., Leung, C., Xue, X., Laurini, R. (eds) Advances in Visual Information Systems. VISUAL 2007. Lecture Notes in Computer Science, vol 4781. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76414-4_2
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DOI: https://doi.org/10.1007/978-3-540-76414-4_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-76413-7
Online ISBN: 978-3-540-76414-4
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