[1]张良 周长胜.基于概念本体的视频内容分析框架[J].计算机技术与发展,2011,(12):116-119.
　ZHANG Liang,ZHOU Chang-sheng.Video Content Analysis Framework Based on Concept Ontology[J].,2011,(12):116-119.
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基于概念本体的视频内容分析框架()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2011年12期
页码:
116-119
栏目:
智能、算法、系统工程
出版日期:
1900-01-01

文章信息/Info

Title:
Video Content Analysis Framework Based on Concept Ontology
文章编号:
1673-629X（2011）12-0116-04
作者:
张良 周长胜
北京信息科技大学计算中心
Author(s):
ZHANG Liang;  ZHOU Chang-sheng
Computer Center of Beijing University of Information ＆ Science Technology
关键词:
视频; 内容分析; 概念本体
Keywords:
video;  content analysis ; concepts ontology
分类号:
TP391
文献标志码:
A
摘要:
为解决视频内容分析过程中对视频组织结构划分的问题，建立了一个基于概念本体的视频分析模型，将视频以概念本体的方式进行划分，归纳出视频中四种典型的概念：类别概念、对象概念、属性概念以及情感概念。论述了各类概念之间的关系：实例关系、属性关系、归类关系、组成关系。采用人工定义规则与学习方法相结合的方法，实现对视频概念本体的识别和划分。以概念本体为中心划分视频结构，符合人类认知事物过程和认知规律，便于将底层特征向量与高层语义进行映射、组织和处理
Abstract:
In order to solve the video structure problem of semantic analysis,created a video content analysis framework based on concept ontology. The video is divided by the concept ontology, it summarized the concept of four typical video： category concept, object con- cepts, property concepts and emotional concepts. It also discusses the relationship between various concepts：instance-of, attribute-of,kind -of,part-of. The video structured by concept ontology consistent with human cognitive processes and cognitive rules of things. The concept ontology as the center can establish good contact between the underlying feature vector and high-level semantic,to the easy mapping,organization and processing

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备注/Memo

备注/Memo:
北京市属高等学校人才强教计划资助项目（PHR201008447）张良（1980-），男，讲师，研究方向为视频语义分析、数据挖掘
更新日期/Last Update: 1900-01-01