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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
ICMCS
2006
IEEE
197views Multimedia» more  ICMCS 2006»
13 years 10 months ago
Identify Sports Video Shots with "Happy" or "Sad" Emotions
Semantic video content extraction and selection are critical steps in sports video analysis and editing. The identification of video segments can be from various semantic perspec...
Jinjun Wang, Engsiong Chng, Changsheng Xu, Hanqing...
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
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...
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