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MTA
2006
193views more  MTA 2006»
13 years 7 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...
CIVR
2008
Springer
207views Image Analysis» more  CIVR 2008»
13 years 9 months ago
Accumulated motion energy fields estimation and representation for semantic event detection
In this paper, a motion-based approach for detecting highlevel semantic events in video sequences is presented. Its main characteristic is its generic nature, i.e. it can be direc...
Georgios Th. Papadopoulos, Vasileios Mezaris, Ioan...
ICMCS
2005
IEEE
183views Multimedia» more  ICMCS 2005»
14 years 1 months ago
Sports Event Recognition Using Layered HMMS
The recognition of events in video data is a subject of much current interest. In this paper, we address several issues related to this topic. The first one is overfitting when ...
Mark Barnard, Jean-Marc Odobez
ICIP
2005
IEEE
14 years 1 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
CVIU
2006
162views more  CVIU 2006»
13 years 7 months ago
Unsupervised scene analysis: A hidden Markov model approach
This paper presents a new approach to scene analysis, which aims at extracting structured information from a video sequence using directly low-level data. The method models the se...
Manuele Bicego, Marco Cristani, Vittorio Murino