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ICMCS
2000
IEEE
131views Multimedia» more  ICMCS 2000»
12 years 7 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
ICIP
2002
IEEE
13 years 5 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
TIP
2010
119views more  TIP 2010»
11 years 10 months ago
Trajectory Classification Using Switched Dynamical Hidden Markov Models
This paper proposes an approach for recognizing human activities (more specifically, pedestrian trajectories) in video sequences, in a surveillance context. A system for automatic ...
Jacinto C. Nascimento, Mário A. T. Figueire...
ICMCS
2005
IEEE
127views Multimedia» more  ICMCS 2005»
12 years 9 months ago
Multimodal Segmental-Based Modeling of Tennis Video Broadcasts
Ef´Čücient multimodal fusion is a key feature of future video indexing systems. Hidden Markov Models provide a powerful framework for video structure analysis but they require all...
Manolis Delakis, Guillaume Gravier, Patrick Gros
ICIP
2005
IEEE
12 years 9 months ago
Robust highlight extraction using multi-stream hidden Markov models for baseball video
This paper proposes a robust statistical framework to extract highlights from a baseball broadcast video. We applied multistream Hidden Markov Models (HMMs) to control the weights...
Nguyen Huu Bach, Koichi Shinoda, Sadaoki Furui
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