基于支持向量机的图像情感语义注释和检索算法的研究  

RESEARCH OF EMOTION SEMANTIC IMAGE ANNOTATION AND RETRIEVAL ALGORITHM USING SUPPORT VECTOR MACHINE

作　　者：王上飞[1] 陈恩红[1] 汪祖媛[1] 王煦法[1] 

机构地区：[1]中国科学技术大学计算机科学技术系,合肥230027

出　　处：《模式识别与人工智能》2004年第1期27-33,共7页Pattern Recognition and Artificial Intelligence

基　　金：国家973计划(No.G1998030500);中国科学技术大学校青年基金资助项目

摘　　要：图像语义检索是当前图像检索的一个新的研究热点,其中情感语义是最高层的语义,通常用形容词来描述。本文提出了一种新的图像情感语义注释算法,以图像的简单特征来描述图像内容,建立图像的特征空间;用形容词表达图像的情感语义,通过认知心理实验和因子分析建立情感空间;采用支持向量机算法建立图像内容和其所表达的情感语义之间的联系,并自动对未曾评价过的图像进行注释。在此基础上,提出图像的情感检索方法,实现了服装和风景图像的情感检索,取得了较好的实验结果。Semantic image retrieval has been a hot research in recent years. Emotion semantic, the highest semantic of an image, is often expressed by adjectives. In this paper, a new emotion semantic annotation algorithm has been proposed. Simple features are used to describe the content of the image and thus construct the feature speace, while cognitive psychological experiments and factor analysis are applied to construct an orthogonal emotional space. Then support vector machine for regression is used to build the mapping function from the image content to its emotion semantic, and automatically annotate unevaluated images. After that, an emotion semantic image retrieval algorithm is presented. Furthermore, emotion scenery and costume image retrieval systems are obtained. At last an interesting experimental result is presented.

关 键 词：图像检索算法 图像索引 支持向量机 图像情感语义注释算法 图像识别 图像理解 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] TN911.73[自动化与计算机技术—计算机科学与技术]