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» Unsupervised scene analysis: A hidden Markov model approach
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ICMCS
2000
IEEE
131views Multimedia» more  ICMCS 2000»
13 years 8 months ago
Joint Video Scene Segmentation and Classification based on Hidden Markov Model
Video classi cation and segmentation are fundamental steps for e cient accessing, retrieving and browsing large amount of video data. We have developed a scene classi cationscheme...
Jincheng Huang, Zhu Liu, Yao Wang
MIR
2006
ACM
220views Multimedia» more  MIR 2006»
13 years 11 months ago
Robust scene recognition using language models for scene contexts
We propose a robust scene recognition framework using scene context information for multimedia contents. Multimedia contents consist of scene sequences that are more likely to hap...
Ryoichi Ando, Koichi Shinoda, Sadaoki Furui, Takah...
ICIP
2005
IEEE
14 years 6 months ago
Unsupervised multiband image segmentation using hidden Markov quadtree and copulas
This paper deals with Hidden Markov Quadtree model for multiband image segmentation. This task, requiring multivariate probability density computations for the data likelihood ter...
Farid Flitti, Christophe Collet, Annabele Joannic-...
ANSS
2006
IEEE
13 years 11 months ago
A New Approach for Computing Conditional Probabilities of General Stochastic Processes
In this paper Hidden Markov Model algorithms are considered as a method for computing conditional properties of continuous-time stochastic simulation models. The goal is to develo...
Fabian Wickborn, Claudia Isensee, Thomas Simon, Sa...
ICIP
2002
IEEE
14 years 6 months ago
Extract highlights from baseball game video with hidden Markov models
In this paper, we describe a statistical method to detect highlights in a baseball game video. The input video is first segmented into scene shots, within which the camera motion ...
Peng Chang, Mei Han, Yihong Gong