检索结果-南通市图书馆

Bridging the semantic gap with human perception based features for scene categorization

International Journal of Intelligent Computing and Cybernetics 2017年第3期10卷 387-406页

作者： padmavati shrivastava K.K.Bhoyar A.S.Zadgaonkar Dr.C.V.Raman University BilaspurIndia Department of Information Technology Yeshwantrao Chavan College of EngineeringNagpurIndia

Purpose–The purpose of this paper is to build a classification system which mimics the perceptual ability of human vision,in gathering knowledge about the structure,content and the surrounding environment of a real-world natural scene,at a quick glance *** paper proposes a set of novel features to determine the gist of a given scene based on dominant color,dominant direction,openness and roughness ***/methodology/approach–The classification system is designed at two different *** the first level,a set of low level features are extracted for each semantic *** the second level the extracted features are subjected to the process of feature evaluation,based on inter-class and intra-class *** most discriminating features are retained and used for training the support vector machine(SVM)classifier for two different data ***–Accuracy of the proposed system has been evaluated on two data sets:the well-known Oliva-Torralba data set and the customized image data set comprising of high-resolution images of natural *** experimentation on these two data sets with the proposed novel feature set and SVM classifier has provided 92.68 percent average classification accuracy,using ten-fold cross validation *** set of proposed features efficiently represent visual information and are therefore capable of narrowing the semantic gap between low-level image representation and high-level human ***/value–The method presented in this paper represents a new approach for extracting low-level features of reduced dimensionality that is able to model human perception for the task of scene *** methods of mapping primitive features to high-level features are intuitive to the user and are capable of reducing the semantic *** proposed feature evaluation technique is general and can be applied across any domain.

关键词： Openness Roughness Human perception JND p-value Scene classification Semantic gap Feature elevation Dominant direction

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：