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ICIP
2010
IEEE
14 years 9 months ago
Learning image similarities via Probabilistic Feature Matching
In this paper, we propose a novel image similarity learning approach based on Probabilistic Feature Matching (PFM). We consider the matching process as the bipartite graph matchin...
Ziming Zhang, Ze-Nian Li, Mark S. Drew
SIGGRAPH
1993
ACM
15 years 3 months ago
Adaptive display algorithm for interactive frame rates during visualization of complex virtual environments
We describe an adaptive display algorithm for interactive frame rates during visualization of very complex virtual environments. The algorithm relies upon a hierarchical model rep...
Thomas A. Funkhouser, Carlo H. Séquin
SIGIR
2005
ACM
15 years 5 months ago
A database centric view of semantic image annotation and retrieval
We introduce a new model for semantic annotation and retrieval from image databases. The new model is based on a probabilistic formulation that poses annotation and retrieval as c...
Gustavo Carneiro, Nuno Vasconcelos
ICCV
2009
IEEE
1331views Computer Vision» more  ICCV 2009»
16 years 4 months ago
I know what you did last summer: object-level auto-annotation of holiday snaps
The state-of-the art in visual object retrieval from large databases allows to search millions of images on the object level. Recently, complementary works have proposed systems ...
Stephan Gammeter, Lukas Bossard, Till Quack, Luc V...
PAMI
2007
156views more  PAMI 2007»
14 years 11 months ago
Selection and Fusion of Color Models for Image Feature Detection
—The choice of a color model is of great importance for many computer vision algorithms (e.g., feature detection, object recognition, and tracking) as the chosen color model indu...
Harro M. G. Stokman, Theo Gevers