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» Sequential Learning of Layered Models from Video
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AI
2007
Springer
14 years 12 months ago
Learning, detection and representation of multi-agent events in videos
In this paper, we model multi-agent events in terms of a temporally varying sequence of sub-events, and propose a novel approach for learning, detecting and representing events in...
Asaad Hakeem, Mubarak Shah
AICCSA
2008
IEEE
261views Hardware» more  AICCSA 2008»
15 years 6 months ago
Measuring quality of experience for MPEG-21-based cross-layer multimedia content adaptation
The aim of this paper is to describe a Quality of Service (QoS) model enabling to measure the perceptual quality of video transmissions by exploiting metrics from different layers...
Christian Timmerer, Víctor H. Ortega, Jose ...
ICML
2007
IEEE
16 years 18 days ago
Learning to compress images and videos
We present an intuitive scheme for lossy color-image compression: Use the color information from a few representative pixels to learn a model which predicts color on the rest of t...
Li Cheng, S. V. N. Vishwanathan
CVPR
2008
IEEE
15 years 6 months ago
3D face tracking and expression inference from a 2D sequence using manifold learning
We propose a person-dependent, manifold-based approach for modeling and tracking rigid and nonrigid 3D facial deformations from a monocular video sequence. The rigid and nonrigid ...
Wei-Kai Liao, Gérard G. Medioni
CHI
2009
ACM
15 years 6 months ago
CThru: exploration in a video-centered information space for educational purposes
We present CThru, a self-guided video-based educational environment in a large multi-display setting. We employ a video-centered approach, creating and combining multimedia conten...
Hao Jiang, Alain Viel, Meekal Bajaj, Robert A. Lue...