Mpeg-7和FCA结合构建图像情感语义本体框架  

Realizing ontology framework construction for image emotional semantic combining MPEG-7 and FCA

作　　者：刘嘉琳[1] 陈俊杰[1] 李海芳[1] 

机构地区：[1]太原理工大学计算机与软件学院,山西太原030024

出　　处：《计算机工程与设计》2009年第17期4092-4094,F0003,共4页Computer Engineering and Design

基　　金：国家自然科学基金项目(60773004);山西省自然科学基金项目(2007011050;2006011030)

摘　　要：针对图像情感领域的特点和现有关于图像领域描述的标准,提出了一种将Mpeg-7(multimedia content description inter-face)和FCA(formal concept analysis)相结合的方法,并用此方法实现了图像情感领域本体框架的半自动构建。这样结合的可行性体现在:利用了Mpeg-7的标准性和丰富的描述子、描述方案作为构建图像顶层本体的数据源,体现了顶层本体的规范性、通用性和可扩展性。由于FCA中的内涵和外延体现了本体构建中概念和属性的关系,所以可利用FCA自动生成概念格算法自动构建图像情感语义应用本体。According to images emotional characteristics and the existing criteria, a method combing Mpeg-7 and FCA is proposed to semi-automatically construct image emotional semantic ontology. The feasibility of the method is： the Mpeg-7 standard and rich descriptiors and description schemes are described as a top-level image ontology, so the Mpeg-7 is the data source of image ontology construction with normative, versatility and scalability. The intent and extent in the FCA corresponding to the relationship between the concepts and attributes of ontology, so using algorithm of generating concept lattice automatically construct application ontology of image emotional semantic.

关 键 词：图像情感语义 本体 本体学习 多媒体内容描述接口 概念格 形式概念分析 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]