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» A Probability Model for Image Annotation
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GW
2005
Springer
136views Biometrics» more  GW 2005»
15 years 7 months ago
Gesture Recognition Using Image Comparison Methods
Abstract. We introduce the use of appearance-based features, and tangent distance or the image distortion model to account for image variability within the hidden Markov model emis...
Philippe Dreuw, Daniel Keysers, Thomas Deselaers, ...
118
Voted
ICCV
2011
IEEE
14 years 1 months ago
Annotator Rationales for Visual Recognition
Traditional supervised visual learning simply asks annotators “what” label an image should have. We propose an approach for image classification problems requiring subjective...
Jeff Donahue, Kristen Grauman
187
Voted
CBMS
2011
IEEE
14 years 1 months ago
Sharing object models for multi-modality medical image simulation: A semantic approach
Medical image simulation produces virtual images from software representations of imaging devices and virtual object models representing the human body. Object models consist of t...
Germain Forestier, Adrien Marion, Hugues Benoit-Ca...
90
Voted
MM
2003
ACM
132views Multimedia» more  MM 2003»
15 years 7 months ago
On image auto-annotation with latent space models
Image auto-annotation, i.e., the association of words to whole images, has attracted considerable attention. In particular, unsupervised, probabilistic latent variable models of t...
Florent Monay, Daniel Gatica-Perez
MMS
2008
15 years 1 months ago
COSMOROE: a cross-media relations framework for modelling multimedia dialectics
Though everyday interaction is predominantly multimodal, a purpose-developed framework for describing the semantic interplay between verbal and non-verbal communication is still la...
Katerina Pastra