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» Evaluating Image Retrieval
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CAISE
2006
Springer
15 years 8 months ago
The Meaning of an Image in Content-Based Image Retrieval
One of the major problems in CBIR is the so-called `semantic gap': the difference between low-level features, extracted from images, and the high-level `information need'...
Walter ten Brinke, David McG. Squire, John Bigelow
ICIP
2000
IEEE
16 years 6 months ago
Fast Retrieval Methods for Images with Significant Variations
Fast image retrieval is the key to success for operations on large image databases, and a great many techniques have been developed for efficient retrieval. However, most of these...
Paul W. Fieguth, Riyin Wan
CCIW
2009
Springer
15 years 11 months ago
KANSEI Based Clothing Fabric Image Retrieval
: KANSEI is a Japanese term which means psychological feeling or image of a product. KANSEI engineering refers to the translation of consumers' psychological feeling about a p...
Yen-Wei Chen, Shouta Sobue, Xinyin Huang
ICPR
2002
IEEE
16 years 5 months ago
Spatial Color Component Matching of Images
Color and color neighborhood statistics have been used extensively in image matching and retrieval. However, the effective incorporation of color layout information remains a chal...
Jianying Hu, Efstathios Hadjidemetriou
CIVR
2010
Springer
187views Image Analysis» more  CIVR 2010»
15 years 9 months ago
Mixture model based contextual image retrieval
Traditional image retrieval techniques search for images without considering the query context. When they are applied to applications like annotating text with images, the results...
Xing Xing, Yi Zhang, Bo Gong