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SAC
2005
ACM
13 years 11 months ago
Retrieving lightly annotated images using image similarities
Users’ search needs are often represented by words and images are retrieved according to such textual queries. Annotation words assigned to the stored images are most useful to ...
Masashi Inoue, Naonori Ueda
ICARCV
2002
IEEE
166views Robotics» more  ICARCV 2002»
13 years 10 months ago
Similarity measure determination from NURBS-warping method
With the advances in digital imagery, large accessible data storage, internet repositories, and image applications, information conveyed through images is gaining in importance. T...
Kim Meng Liang, Mandava Rajeswari, Bee Ee Khoo
KDD
2000
ACM
116views Data Mining» more  KDD 2000»
13 years 9 months ago
Learning Feature Weights from User Behavior in Content-Based Image Retrieval
Henning Müller, Wolfgang Müller 0002, Da...
MM
2004
ACM
167views Multimedia» more  MM 2004»
13 years 11 months ago
Learning an image manifold for retrieval
We consider the problem of learning a mapping function from low-level feature space to high-level semantic space. Under the assumption that the data lie on a submanifold embedded ...
Xiaofei He, Wei-Ying Ma, HongJiang Zhang
MIR
2010
ACM
207views Multimedia» more  MIR 2010»
13 years 4 months ago
Learning to rank for content-based image retrieval
In Content-based Image Retrieval (CBIR), accurately ranking the returned images is of paramount importance, since users consider mostly the topmost results. The typical ranking st...
Fabio F. Faria, Adriano Veloso, Humberto Mossri de...