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18th International Conference on Pattern Recognition (ICPR'06)

DOI: 10.1109/icpr.2006.851

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Near-Duplicate Image Recognition and Content-based Image Retrieval using Adaptive Hierarchical Geometric Centroids

Proceedings article published in 2006 by Mai Yang, Mai Yang, Guoping Qiu ORCID, Guoping Qiu, Jiwu Huang, Dave Elliman
This paper was not found in any repository, but could be made available legally by the author.
This paper was not found in any repository, but could be made available legally by the author.

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Abstract

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.