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128
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ISM
2008
IEEE
108views Multimedia» more  ISM 2008»
15 years 8 months ago
Optimization of Content-Based Image Retrieval Functions
Feature extraction and similarity measurement are two important operations in content-based image retrieval systems. We optimize and vectorize typical feature extraction algorithm...
Asadollah Shahbahrami, Ben H. H. Juurlink
MTA
1998
119views more  MTA 1998»
15 years 1 months ago
A New Indexing Scheme for Content-Based Image Retrieval
We propose a new efficient indexing scheme, called the HG-tree, to support content-based retrieval in image databases. Image content is represented by a point in a multidimensional...
Guang-Ho Cha, Chin-Wan Chung
144
Voted
CSIE
2009
IEEE
15 years 9 months ago
Evaluating Clustering Algorithms: Cluster Quality and Feature Selection in Content-Based Image Clustering
The paper presents an evaluation of four clustering algorithms: k-means, average linkage, complete linkage, and Ward’s method, with the latter three being different hierarchical...
Mesfin Sileshi, Björn Gambäck
89
Voted
ACCV
2007
Springer
15 years 8 months ago
Content-Based Image Retrieval by Indexing Random Subwindows with Randomized Trees
Raphaël Marée, Pierre Geurts, Louis We...
141
Voted
IJCNN
2006
IEEE
15 years 8 months ago
Is High Resolution Representation More Effective for Content Based Image Classification?
Liang Chen, Naoyuki Tokuda, Akira Nagai, Xiaoyu Ch...