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» Face Models from Uncalibrated Video Sequences
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CVPR
2008
IEEE
14 years 9 months ago
Learning human actions via information maximization
In this paper, we present a novel approach for automatically learning a compact and yet discriminative appearance-based human action model. A video sequence is represented by a ba...
Jingen Liu, Mubarak Shah
ECCV
2004
Springer
14 years 29 days ago
Probabilistic Spatial-Temporal Segmentation of Multiple Sclerosis Lesions
Abstract. In this paper we describe the application of a novel statistical videomodeling scheme to sequences of multiple sclerosis (MS) images taken over time. The analysis of the ...
Allon Shahar, Hayit Greenspan
CVPR
2003
IEEE
14 years 26 days ago
Bayesian Human Segmentation in Crowded Situations
Problem of segmenting individual humans in crowded situations from stationary video camera sequences is exacerbated by object inter-occlusion. We pose this problem as a “model-b...
Tao Zhao, Ramakant Nevatia
MM
2003
ACM
161views Multimedia» more  MM 2003»
14 years 25 days ago
Affective content detection using HMMs
This paper discusses a new technique for detecting affective events using Hidden Markov Models(HMM). To map low level features of video data to high level emotional events, we per...
Hang-Bong Kang
MM
2009
ACM
195views Multimedia» more  MM 2009»
14 years 2 months ago
The effectiveness of intelligent scheduling for multicast video-on-demand
As more and more video content is made available and accessed on-demand, content and service providers face challenges of scale. Today’s delivery mechanisms, especially unicast,...
Vaneet Aggarwal, A. Robert Calderbank, Vijay Gopal...