An automated video annotation system

被引：0
|
作者：
Ren, W [1 ]
Singh, S
机构：
[1] Univ Exeter, ATR Lab, Exeter, Devon, England
[2] Univ Loughborough, ATR Lab, Loughborough, Leics, England
来源：
PATTERN RECOGNITION AND IMAGE ANALYSIS, PT 2, PROCEEDINGS | 2005年 / 3687卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Manually labeling video data is not only a labor intensive and time-consuming task, but also subject to human errors. In this paper, we present an automatic video annotation system. The system uses spatial attributions such as color, texture, shape, motion, and temporal hierarchical attributes among video objects. The system includes a new method of automatic video segmentation, object recognition and object-tracking scheme, and hierarchical object-based video representation model.
引用
收藏
页码：693 / 700
页数：8
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