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ICIP
2001
IEEE
15 years 11 months ago
Support vector machine learning for image retrieval
In this paper, a novel method of relevance feedback is presented based on Support Vector Machine learning in the content-based image retrieval system. A SVM classifier can be lear...
Lei Zhang, Fuzong Lin, Bo Zhang
DAGM
2004
Springer
15 years 3 months ago
CVPIC Colour/Shape Histograms for Compressed Domain Image Retrieval
Compressed domain image retrieval allows image indexing to be performed directly on the compressed data without the need of decoding. This approach hence provides a significant ga...
Gerald Schaefer
CAISE
2006
Springer
15 years 1 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
93
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ICIP
2000
IEEE
15 years 11 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
14 years 7 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