Video Annotation System Based on Categorizing and Keyword Labelling

被引：0
|
作者：
Cui, Bin [1 ]
Pan, Bei [1 ]
Shen, Heng Tao [2 ]
Wang, Ying [1 ]
Zhang, Ce [1 ]
机构：
[1] Peking Univ, Minst Educ, Key Lab High Confidence Software Technol, Beijing, Peoples R China
[2] Univ Queensland, Sch ITEE, Brisbane, Qld, Australia
来源：
DATABASE SYSTEMS FOR ADVANCED APPLICATIONS, PROCEEDINGS | 2009年 / 5463卷
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this work, we demonstrate an automatic video annotation system which can provide users with the representative keywords for new videos. The system explores the hierarchical concept model and multiple feature model to improve the effectiveness of annotation, which consists of two components; a SVM classifier to ascertain the category; and a multiple feature model to label the keywords. We implement the demo system using the videos downloaded from YouTube. The results show the superiority of our approach.
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页码：764 / +
页数：2
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