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» Learning Scene Semantics Using Fiedler Embedding
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ICPR
2004
IEEE
15 years 10 months ago
Activity Summarisation and Fall Detection in a Supportive Home Environment
Automatic semantic summarisation of human activity and detection of unusual inactivity are useful goals for a vision system operating in a supportive home environment. Learned mod...
Hammadi Nait-Charif, Stephen J. McKenna
105
Voted
CVPR
2005
IEEE
15 years 11 months ago
A Two Level Approach for Scene Recognition
Classifying pictures into one of several semantic categories is a classical image understanding problem. In this paper, we present a stratified approach to both binary (outdoor-in...
Le Lu, Kentaro Toyama, Gregory D. Hager
ICIP
2009
IEEE
15 years 10 months ago
Physics-based Illuminant Color Estimation As An Image Semantics Clue
Most algorithms for extracting illuminant chromaticity from arbitrary images, such as the images found on the web, are based on machine learning techniques. We will show how a phy...
ICCV
2009
IEEE
16 years 2 months ago
Using machine learning to predict where people look
For many applications in graphics, design, and human computer interaction, it is essential to understand where humans look in a scene. Where eye tracking devices are not a viable o...
Tilke Judd, Krista Ehinger, Fr´edo Durand, Antoni...
ICASSP
2010
IEEE
14 years 9 months ago
Detecting local semantic concepts in environmental sounds using Markov model based clustering
Detecting the time of occurrence of an acoustic event (for instance, a cheer) embedded in a longer soundtrack is useful and important for applications such as search and retrieval...
Keansub Lee, Daniel P. W. Ellis, Alexander C. Loui