电商网站中面料商品的情感语义自动识别和分类

Emotional Identification and Classification of Fabrics in Electronic Commerce Website

图像中蕴含着丰富的情感,根据图像所表达的情感进行分类是非常有必要的。针对面料情感在电商网站中的自动识别进行研究,提出了一种自动识别面料图像情感的方法,进而实现在电子商务网站中面料商品按情感进行分类和排序。在面料图像情感因子空间以及支持向量机的情感语义识别研究基础上,通过对图像特征提取及分类算法和动态链接库技术研究,开发了基于Web的面料图像情感语义识别模块,实现上传面料图像自动识别其情感,并将其应用到了电子商务网站中。

Image contains a wealth of emotion, according to the image expressed by the emotional classification is very neces- sary. Aiming at the automatic recognition of fabric emotion in electronic commerce website, this paper presents a method to au- tomatically recognize the emotion of fabric goods, and then realize the classification and sorting of fabric goods according to emotion. Based on the research of emotion semantic space of fabric image and the recognition of emotion semantics based on support vector machine （SVM）,and the research of image feature extraction and classification algorithm and dynamic link li- brary, a web-based emotion image semantic recognition module is developed to automatically recognize the emotions of fabric images. Then apply it to the e-commerce site.