基于内容的图像情感语义检索研究  

RESEARCH ON CONTENT-BASED IMAGE AFFECTIVE SEMANTICS RETRIEVAL

作　　者：张宇楠[1] 陈俊杰[1] 

机构地区：[1]太原理工大学计算机与科学技术学院,山西太原030024

出　　处：《计算机应用与软件》2014年第5期197-201,共5页Computer Applications and Software

基　　金：国家自然科学基金资助项目(60970059;61070077;61170136);山西省自然科学基金项目(2010011020-2;2011011015-4)

摘　　要：基于内容的图像检索是使用图像的底层视觉特征对图像进行检索,使检索结果在视觉角度上尽可能相似。但能否通过图像的底层特征来准确体现人对图像的视觉感知(即图像的情感语义)有待于进一步的探索。首先构建检索性能较好的基于内容的图像检索系统,并针对分类标准不同的两类图像库进行多次实验。实验证明,图像的情感语义无法通过单一的图像底层特征描述。Content-based image retrieval means retrieving images by image low level visual features so that the retrieved results are as similar as possible from the visual perspective. However it requires further exploration whether image low lever features can accurately represent visual perception,or image affective semantics,of human upon image. The paper first of all constructs content-based image retrieval system with better retrieval performance; next it carries out a number of experiments upon two image databases that are classified by different criteria. Experiments prove that image affective semantics can＇t be described by single image low layer features.

关 键 词：图像 基于内容图像检索 情感语义 情感图像库 

分 类 号：TP399[自动化与计算机技术—计算机应用技术]