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NIPS
2007
15 years 8 months ago
Learning Visual Attributes
We present a probabilistic generative model of visual attributes, together with an efficient learning algorithm. Attributes are visual qualities of objects, such as ‘red’, ...
Vittorio Ferrari, Andrew Zisserman
DICTA
2003
15 years 8 months ago
Learning Semantic Concepts from Visual Data Using Neural Networks
For content-based image retrieval techniques, query image is used to pick up and rank some relevant images from a database using some certain similarity metric. If semantic feature...
Xiaohang Ma, Dianhui Wang
SPIESR
2004
118views Database» more  SPIESR 2004»
15 years 8 months ago
New method for visual descriptor evaluation
Evaluation in visual information retrieval is usually performed by executing test queries and calculating recall and precision based on predefined media collections and ground tru...
Horst Eidenberger
VL
1997
IEEE
171views Visual Languages» more  VL 1997»
15 years 11 months ago
Making Distortions Comprehensible
This paper discusses visual information representation from the perspective of human comprehension. The distortion viewing paradigm is an appropriate focus for this discussion as ...
M. Sheelagh T. Carpendale, David J. Cowperthwaite,...
3DPVT
2004
IEEE
169views Visualization» more  3DPVT 2004»
15 years 10 months ago
View Dependence of 3D Recovery from Folded Pictures and Warped 3D Faces
In a popular visual illusion, the portrait on paper currency is folded into an M shape along vertical lines through the nose and the eyes. When this folded picture is tilted back ...
J. Patrick Cavanagh, Michael von Grünau, Lee ...