会议专题

Emotional Semantic Analysis of Male T-shirt Image Based on Color and Texture Features

  In order to recognize and retrieve the emotional semantics of male T-shirt images,it is necessary to extract the low-level features of the color and texture of Images and analyze the emotional semantics to find out the relationship between the image features and emotional semantics.To study the male T-shirt image emotional description and establish the three-dimensional emotional factor space,on the basis of this,the corresponding relationships among color,texture features and three factors of T-shirt images are analyzed.The results show that the first factor can be explained by 10-dimensional features of saturation-cold and warm fuzzy histogram plus 1-dimentional contrast,the second factor can be represented a feature of 256-dimentional gray scales plus 1-dimentional color contrast,the third factor can be used 3-dimentional Tamura features(coarseness,contrast,directionality)to characterize.This relationship lays the foundation for achieving emotional semantic recognition and retrieval of content-based T-shirt images.

male T-shirt image low-level feature extraction emotional semantic color feature texture feature

Xiaomeng Zhanag Haibo Zhang

Information Center,Beijing Institute of Fashion Technology,Beijing,100029,China Library,Beijing Institute of Fashion Technology,Beijing,100029,China

国际会议

2018 7th International Conference on Advanced Materials and Computer Science (ICAMCS 2018) 2018第七届先进材料与计算机科学国际会议(ICAMCS 2018)

大连

英文

33-39

2018-12-21(万方平台首次上网日期,不代表论文的发表时间)