摘要
网络技术的发展和图像获取设备的普及导致数字图像迅速增长,依靠先进的技术获取并分析图像蕴含的情感语义正是当前各行业急需解决的问题,过去封闭的行为学实验环境限制了图像情感语义数据的获取.基于开放环境制作了一个行为学实验平台,选取大学生作为被试获取图像情感语义数据,使用主成分分析法分析获取的数据.实验结果表明,开放环境下的行为学实验获取的数据非常有效,经过分析,可表达图像三分之二的情感语义信息,可为今后实现有效的图像情感语义分类和检索打好基础,具有一定的实用性.
The development of network technology and the popularization of the image acquisition de- vice have resulted in the rapid growth of digital images. It has become an urgent problem to obtain and ana- lyze emotional semantic information of images relying on advanced technology.The closed behavioral exper- iment environment restricted acquisition of image emotional semantic. The behavioral experiment platform is produced based on open environment, college students are selected as tries to obtain image emotion se- mantic data, and obtained data are analyzed using principal component algorithm. The experimental results show that data are very effective under the open behavior experimental environment and can express 2/3 e- motional semantic information of the image through analysis. It can lay a good foundation for realizing im- age affective classification and retrieval,which has some practical value.
出处
《曲阜师范大学学报(自然科学版)》
CAS
2014年第1期26-30,37,共6页
Journal of Qufu Normal University(Natural Science)
基金
国家自然科学基金资助项目(61202163)
山西省自然科学基金项目(2013011017-2)
山西省高校科技创新项目(2013150)
忻州师范学院重点学科专项课题(XK201308)
关键词
开放环境
行为学实验
情感语义数据
主成分分析法
open environment
behavioral experiment
emotional semantic data
principal component al- gorithm