505 search results - page 22 / 101 » Image Database Retrieval with Multiple-Instance Learning Tec... |
201
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TKDE
2008
15 years 6 months ago
2008
One of the fundamental problems in Content-Based Image Retrieval (CBIR) has been the gap between low-level visual features and high-level semantic concepts. To narrow down this gap...
194
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MIR
2004
ACM
15 years 11 months ago
2004
ACM
In content-based image retrieval, relevance feedback has been introduced to narrow the gap between low-level image feature and high-level semantic concept. Furthermore, to speed u...
185
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IVC
2007
15 years 6 months ago
2007
ct 8 For a specific set of features chosen for representing images, the performance of a content-based image retrieval (CBIR) system 9 depends critically on the similarity or diss...
164
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KDD
1995
ACM
15 years 10 months ago
1995
ACM
Techniques for learning from data typically require data to be in standard form. Measurements must be encoded in a numerical format such as binary true-or-false features, numerica...
184
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ICIP
2005
IEEE
16 years 8 months ago
2005
IEEE
Content-based image retrieval systems still have difficulties to bridge the semantic gap between the low-level representation of images and the high level concepts the user is loo...