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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
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
PAA
2006
13 years 4 months ago
Audio-visual sports highlights extraction using Coupled Hidden Markov Models
We present our studies on the application of Coupled Hidden Markov Models(CHMMs) to sports highlights extraction from broadcast video using both audio and video information. First,...
Ziyou Xiong
MIR
2003
ACM
161views Multimedia» more  MIR 2003»
13 years 9 months ago
Highlight scene extraction in real time from baseball live video
This paper proposes a method to automatically extract highlight scenes from sports (baseball) live video in real time and to allow users to retrieve them. For this purpose, sophis...
Yasuo Ariki, Masahito Kumano, Kiyoshi Tsukada
CIVR
2007
Springer
241views Image Analysis» more  CIVR 2007»
13 years 10 months ago
A robust scene recognition system for baseball broadcast using data-driven approach
We propose a robust scene recognition system for baseball broadcast videos. This system is based on the data-driven approach which has been successful in continuous speech recogni...
Ryoichi Ando, Koichi Shinoda, Sadaoki Furui, Takah...