Abstract
This paper presents a contour-based indexing and retrieval method for content-based image/video retrieval applications. It is based on extracting closed contours, smoothing the contour, indexing with a variation of BK-trees, and using a turning function metric for data comparison. The method is very lightweight, fast and robust - the goal being retaining close to realtime speeds for real applicability. We provide evaluation data showing that the method performs well and fast, and is suitable for inclusion into content based retrieval systems as a descriptor for recognition of in-frame objects and shapes.
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Kovács, L. (2010). Contour Based Shape Retrieval. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2010. Lecture Notes in Computer Science, vol 6455. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17277-9_7
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DOI: https://doi.org/10.1007/978-3-642-17277-9_7
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-17276-2
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