Emotional Semantic Analysis of Male T-shirt Image Based on Color and Texture Features
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DOI: 10.23977/icamcs.2018.006
Author(s)
Xiaomeng Zhanag, Haibo Zhang
Corresponding Author
Haibo Zhang
ABSTRACT
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.
KEYWORDS
Male T-shirt image, low-level feature extraction, emotional semantic, color feature, texture feature