Automatic generation of soccer video content hierarchy by mapping low-level features to high-level semantics

被引：0
|
作者：
Chen, JY [1 ]
Li, YH [1 ]
Lao, SY [1 ]
Wu, LD [1 ]
机构：
[1] Natl Univ Def & Technol, Multimedia Res & Dev Ctr, Changsha 410073, Peoples R China
来源：
THIRD INTERNATIONAL SYMPOSIUM ON MULTISPECTRAL IMAGE PROCESSING AND PATTERN RECOGNITION, PTS 1 AND 2 | 2003年 / 5286卷
关键词：
content-based; video content hierarchy; video segmentation; semantic event detection; soccer video;
D O I：
10.1117/12.539019
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, we address the problem of semantically generating hierarchical and meaningful content for soccer video by mapping low-level features to high-level semantics. Our goal is to construct a hierarchical and compact content abstraction of soccer video that can serve as an effective index table, allowing users to browse through lots of soccer videos in a flexible and efficient way. And we generated three-layer semantic hierarchies of soccer video according to characteristics of soccer video through bridging the gap between features and semantics. Some experimental results are presented and discussed in the paper.
引用
收藏
页码：541 / 546
页数：6
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