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SIGIR
2008
ACM
14 years 9 months ago
Learning to reduce the semantic gap in web image retrieval and annotation
We study in this paper the problem of bridging the semantic gap between low-level image features and high-level semantic concepts, which is the key hindrance in content-based imag...
Changhu Wang, Lei Zhang 0001, Hong-Jiang Zhang
IJCV
2000
223views more  IJCV 2000»
14 years 9 months ago
The Earth Mover's Distance as a Metric for Image Retrieval
We investigate the properties of a metric between two distributions, the Earth Mover's Distance (EMD), for content-based image retrieval. The EMD is based on the minimal cost ...
Yossi Rubner, Carlo Tomasi, Leonidas J. Guibas
ICIP
2008
IEEE
15 years 11 months ago
Learning distance metric for semi-supervised image segmentation
Semi-supervised image segmentation is an important issue in many image processing applications, and has been a popular research area recently, the most popular are graph-based met...
Yangqing Jia, Changshui Zhang
ECML
2007
Springer
15 years 3 months ago
Learning Metrics Between Tree Structured Data: Application to Image Recognition
The problem of learning metrics between structured data (strings, trees or graphs) has been the subject of various recent papers. With regard to the specific case of trees, some a...
Laurent Boyer 0002, Amaury Habrard, Marc Sebban
MMS
2006
14 years 9 months ago
Collaborative image retrieval via regularized metric learning
In content-based image retrieval (CBIR), relevant images are identified based on their similarities to query images. Most CBIR algorithms are hindered by the semantic gap between ...
Luo Si, Rong Jin, Steven C. H. Hoi, Michael R. Lyu