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» A Hierarchical Semantics-Matching Approach for Sports Video ...
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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...
ICIP
2001
IEEE
14 years 6 months ago
Generation of semantic cues for sports video annotation
The use of video and audio features for automated annotation of audio-visual data is becoming widespread. A major limitation of many of the current methods is that the stored inde...
Kieron Messer, Josef Kittler, Barbara Levienaise-O...
KDD
2002
ACM
169views Data Mining» more  KDD 2002»
14 years 5 months ago
A Framework for Customizable Sports Video Management and Retrieval
Several domain specific approaches for sports video management have shown the benefits of integrating low- and high- level video contents in supporting more robust retrieval. Howev...
Dian Tjondronegoro, Yi-Ping Phoebe Chen, Binh Pham
MMM
2007
Springer
176views Multimedia» more  MMM 2007»
13 years 10 months ago
An Efficient Automatic Video Shot Size Annotation Scheme
Abstract. This paper presents an efficient learning scheme for automatic annotation of video shot size. Instead of existing methods that applied in sports videos using domain knowl...
Meng Wang, Xian-Sheng Hua, Yan Song, Wei Lai, Li-R...
SISAP
2010
IEEE
132views Data Mining» more  SISAP 2010»
13 years 2 months ago
SHIATSU: annotating your videos the easy way!
In this demonstration we present SHIATSU, an automatic semantic-based video tagging system which relies on shot boundary detection and hierarchical annotation. More in details, in...
Ilaria Bartolini, Corrado Romani