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ICMCS
2000
IEEE
142views Multimedia» more  ICMCS 2000»
15 years 6 months ago
Incorporate Discriminant Analysis with EM Algorithm in Image Retrieval
One of the difficulties of Content-Based Image Retrieval (CBIR) is the gap between high-level concepts and low-level image features, e.g., color and texture. Relevance feedback wa...
Qi Tian, Ying Wu, Thomas S. Huang
CIIA
2009
15 years 3 months ago
Color Quantization and its Impact on Color Histogram Based Image Retrieval
The comparison of color histograms is one of the most widely used techniques for Content-Based Image Retrieval. Before establishing a color histogram in a defined model (RGB, HSV o...
Khouloud Meskaldji, Samia Boucherkha, Salim Chikhi
ICMCS
2007
IEEE
138views Multimedia» more  ICMCS 2007»
15 years 8 months ago
A Compact and Efficient Color Descriptor for Image Retrieval
— An important problem in color based image retrieval is the lack of efficient way to represent both the color and the spatial structure information with single descriptor. To so...
Ka-Man Wong, Lai-Man Po, Kwok-Wai Cheung
92
Voted
VLC
2002
70views more  VLC 2002»
15 years 1 months ago
An Efficient Signature File Strategy for Similarity Retrieval from Large Iconic Image Databases
Ye-In Chang, Hsing-Yen Ann, Wei-Horng Yeh
ICIP
2001
IEEE
16 years 3 months ago
Shape measures for image retrieval
One of the main goals in Content Based Image Retrieval (CBIR) is to incorporate shape into the process in a reliable manner. In order to overcome the difficulties of directly obta...
George Gagaudakis, Paul L. Rosin