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» Bridging the Semantic Gap Between Image Contents and Tags
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ICDM
2007
IEEE
118views Data Mining» more  ICDM 2007»
13 years 11 months ago
Predictive Data Mining for Lung Nodule Interpretation
Diagnostic decision-making in pulmonary medical imaging has been improved by computer-aided diagnosis (CAD) systems, serving as second readers to detect suspicious nodules for dia...
William Horsthemke, Ekarin Varutbangkul, Daniela S...
MM
2009
ACM
187views Multimedia» more  MM 2009»
13 years 9 months ago
Convex experimental design using manifold structure for image retrieval
Content Based Image Retrieval (CBIR) has become one of the most active research areas in computer science. Relevance feedback is often used in CBIR systems to bridge the semantic ...
Lijun Zhang, Chun Chen, Wei Chen, Jiajun Bu, Deng ...
ICMCS
2005
IEEE
218views Multimedia» more  ICMCS 2005»
13 years 10 months ago
A Mid-level Visual Concept Generation Framework for Sports Analysis
The development of mid-level concepts helps to bridge the gap between low-level feature and high-level semantics in video analysis. Most existing work combines the customized mid-...
Xiaofeng Tong, Lingyu Duan, Hanqing Lu, Changsheng...
CIVR
2009
Springer
221views Image Analysis» more  CIVR 2009»
13 years 11 months ago
Movie segmentation into scenes and chapters using locally weighted bag of visual words
Movies segmentation into semantically correlated units is a quite tedious task due to ”semantic gap”. Low-level features do not provide useful information about the semantical...
Vasileios Chasanis, Argyris Kalogeratos, Aristidis...
BDA
2007
13 years 6 months ago
Hyperplane Queries in a Feature-Space M-tree for Speeding up Active Learning
In content-based retrieval, relevance feedback (RF) is a noticeable method for reducing the “semantic gap” between the low-level features describing the content and the usually...
Michel Crucianu, Daniel Estevez, Vincent Oria, Jea...