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» Learning Over Multiple Temporal Scales in Image Databases
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ICCV
2009
IEEE
13 years 5 months ago
Incremental Multiple Kernel Learning for object recognition
A good training dataset, representative of the test images expected in a given application, is critical for ensuring good performance of a visual categorization system. Obtaining ...
Aniruddha Kembhavi, Behjat Siddiquie, Roland Miezi...
ECCV
2010
Springer
13 years 12 months ago
An eye fixation database for saliency detection in images
To learn the preferential visual attention given by humans to specific image content, we present NUSEF- an eye fixation database compiled from a pool of 758 images and 75 subjects....
CVPR
2009
IEEE
1133views Computer Vision» more  CVPR 2009»
15 years 2 months ago
Hierarchical Spatio-Temporal Context Modeling for Action Recognition
The problem of recognizing actions in realistic videos is challenging yet absorbing owing to its great potentials in many practical applications. Most previous research is limit...
Jintao Li, Ju Sun, Loong Fah Cheong, Shuicheng Yan...
ICIP
2009
IEEE
14 years 8 months ago
Learning Large Margin Likelihoods For Realtime Head Pose Tracking
We consider the problem of head tracking and pose estimation in realtime from low resolution images. Tracking and pose recognition are treated as two coupled problems in a probabi...
CLEF
2010
Springer
13 years 8 months ago
Detection of Visual Concepts and Annotation of Images Using Predictive Clustering Trees
Abstract. In this paper, we present a multiple targets classification system for visual concepts detection and image annotation. Multiple targets classification (MTC) is a variant ...
Ivica Dimitrovski, Dragi Kocev, Suzana Loskovska, ...