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Near-Duplicate Image Recognition and Content-based Image Retrieval using Adaptive Hierarchical Geometric Centroids
Hong Kong August 20-August 24
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2006.85118th International Conference on Patt ...
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Mai Yang, University of Nottingham, UK
Guoping Qiu, University of Nottingham, UK
Jiwu Huang, Sun Yat-sun University, Guangzhou, China
Dave Elliman, Sun Yat-sun University, Guangzhou, China
In this paper, we present a new feature extraction method that simultaneously captures the global and local characteristics of an image by adaptively computing hierarchical geometric centroids of the image. We show that these hierarchical centroids have some very interesting properties such as illumination invariant and insensitive to scaling. We have applied the method for near-duplicate image recognition and for content-based image retrieval. We present experimental results to show that our method works effectively in both applications.
Citation:
Mai Yang, Guoping Qiu, Jiwu Huang, Dave Elliman, "Near-Duplicate Image Recognition and Content-based Image Retrieval using Adaptive Hierarchical Geometric Centroids," icpr, vol. 2, pp.958-961, 18th International Conference on Pattern Recognition (ICPR'06) Volume 2, 2006
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