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CIVR
2004
Springer
186views Image Analysis» more  CIVR 2004»
13 years 8 months ago
Video Segmentation Using Hidden Markov Model with Multimodal Features
In this paper, a video segmentation algorithm based on Hidden Markov Model classifier with multimodal feature is proposed. By using Hidden Markov Model classifier with both audio a...
Tae Meon Bae, Sung Ho Jin, Yong Man Ro
ICMCS
2005
IEEE
127views Multimedia» more  ICMCS 2005»
13 years 10 months ago
Multimodal Segmental-Based Modeling of Tennis Video Broadcasts
Efficient 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
MTA
2006
193views more  MTA 2006»
13 years 4 months ago
Audiovisual integration for tennis broadcast structuring
This paper focuses on the integration of multimodal features for sport video structure analysis. The method relies on a statistical model which takes into account both the shot co...
Ewa Kijak, Guillaume Gravier, Lionel Oisel, Patric...
CVPR
2007
IEEE
14 years 6 months ago
Segmental Hidden Markov Models for View-based Sport Video Analysis
We present a generative model approach to explore intrinsic semantic structures in sport videos, e.g., the camera view in American football games. We will invoke the concept of se...
Yi Ding, Guoliang Fan
ICIP
2005
IEEE
13 years 10 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