摘要
分析了图像情感特征的特点并提出三层结构的分类方法,以彩色自然风景图片为例,选取了典型的情感特征,采用排序调查法收集用户评价,并通过多元线性回归方法建立图像颜色特征与用户评价的映射关系,用于彩色自然风景图片情感特征的自动提取。最后通过实验验证了三层结构的合理性,以及所建立映射关系对于正确预测彩色自然风景图片情感特征的有效性。
The characteristics of image affective features were analyzed and a method was provided to divide affective features into 3 levels. Typical affective features for colorful natural scenes were chosen and an investigation was carried out to collect users＇ impressions on images. Then, based on color features and users＇ evaluations, the mapping between color and subjective impressions was established by multiple linear regressions, which could be used to extract affective features automatically. Finally, the validity of 3 levels was verified. Besides, the mapping is also testified effective to forecast and index the affective features correctly.
出处
《计算机应用》
CSCD
北大核心
2008年第3期659-661,668,共4页
journal of Computer Applications
关键词
风景图片
情感特征
颜色直方图
多元线性回归
natural scenes
affective features
color histogram
multiple linear regression
