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» Two-Layer Generative Models for Sport Video Mining
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ICMCS
2007
IEEE
132views Multimedia» more  ICMCS 2007»
13 years 11 months ago
Two-Layer Generative Models for Sport Video Mining
We present a two-layer generative model for sport video mining that is composed of a two-layer observation model. The first layer is the Gaussian mixture model (GMM) using framew...
Yi Ding, Guoliang Fan, W. Bryan
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
206views Multimedia» more  ICMCS 2006»
13 years 10 months ago
Extracting Story Units in Sports Video Based on Unsupervised Video Scene Clustering
Many sports videos such as archery, diving and tennis have repetitive structure patterns. They are reliable clues to generate highlights, summarization and automatic annotation. I...
Chunxi Liu, Qingming Huang, Shuqiang Jiang, Weigan...
NAACL
2007
13 years 6 months ago
Situated Models of Meaning for Sports Video Retrieval
Situated models of meaning ground words in the non-linguistic context, or situation, to which they refer. Applying such models to sports video retrieval requires learning appropri...
Michael Fleischman, Deb Roy
ICMCS
2005
IEEE
218views Multimedia» more  ICMCS 2005»
13 years 10 months ago
A Mid-level Visual Concept Generation Framework for Sports Analysis
The development of mid-level concepts helps to bridge the gap between low-level feature and high-level semantics in video analysis. Most existing work combines the customized mid-...
Xiaofeng Tong, Lingyu Duan, Hanqing Lu, Changsheng...