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» Face Models from Uncalibrated Video Sequences
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CVPR
2008
IEEE
16 years 3 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
15 years 7 months 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
130
Voted
CVPR
2003
IEEE
15 years 7 months 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
144
Voted
MM
2003
ACM
161views Multimedia» more  MM 2003»
15 years 7 months 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»
15 years 8 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...