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» Use of Context in Automatic Annotation of Sports Videos
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ICMCS
2006
IEEE
206views Multimedia» more  ICMCS 2006»
13 years 11 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...
VCIP
2003
151views Communications» more  VCIP 2003»
13 years 6 months ago
Sports video categorizing method using camera motion parameters
In this paper, we propose a content based video categorizing method focusing broadcasted sports videos using camera motion parameters. We define two new features in the proposed m...
Shinichi Takagi, Shinobu Hattori, Kazumasa Yokoyam...
ICPR
2002
IEEE
14 years 6 months ago
Hierarchical Recognition of Intentional Human Gestures for Sports Video Annotation
We present a novel technique for the recognition of complex human gestures for video annotation using accelerometers and the hidden Markov model. Our extension to the standard hid...
Graeme S. Chambers, Svetha Venkatesh, Geoff A. W. ...
ISM
2005
IEEE
165views Multimedia» more  ISM 2005»
13 years 11 months ago
eSports: Collaborative and Synchronous Video Annotation System in Grid Computing Environment
We designed eSports—a collaborative and synchronous video annotation platform, which is to be used in Internet scale cross-platform grid computing environment to facilitate Comp...
Gang Zhai, Geoffrey Fox, Marlon E. Pierce, Wenjun ...
ICMCS
2006
IEEE
197views Multimedia» more  ICMCS 2006»
13 years 11 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...