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CAISE
2006
Springer
15 years 7 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 5 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
ICIP
2010
IEEE
15 years 1 months ago
Multi-description of local interest point for partial-duplicate image retrieval
In partial-duplicate image retrieval, images are commonly represented using Bag-of-visual-Words (BoW) built from image local features, such as SIFT. Therefore, the discriminative ...
Liang Li, Shuqiang Jiang, Qingming Huang
CCIW
2009
Springer
15 years 10 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
CVPR
2008
IEEE
16 years 5 months ago
Parameterized Kernel Principal Component Analysis: Theory and applications to supervised and unsupervised image alignment
Parameterized Appearance Models (PAMs) (e.g. eigentracking, active appearance models, morphable models) use Principal Component Analysis (PCA) to model the shape and appearance of...
Fernando De la Torre, Minh Hoai Nguyen