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

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.

• Type: Conference
• Year: 2006
• Where: ICPR
• Authors: Dave Elliman, Guoping Qiu, Jiwu Huang, Mai Yang
• Keywords: Computer Vision, Content-based Image Retrieval, Feature Extraction Method, ICPR 2006, Near-duplicate Image Recognition