Affective Annotation of Images Based on Multi-feature
多特征综合的图像模糊情感注释方法研究

A method of affective annotation of images based on multi-feature is proposed in this paper. First, the corresponding relations between visual features (color, texture and shape) and emotion in an image are discussed, and the relations results are provided by orthogonal experiment, research and reference documents. Then, proper algorithms have been selected and modified for abstracting the features of color, texture and shape, by way of fuzzy inputs. Finally, an affective space of emotion quantification and an approach of fuzzy approximately reasoning theory is proposed to annotate affective. The experimental results are given to show that the proposed approach achieves a higher degree of precision, by asking 20 persons to estimate 100 images affective in contrast with the system. At the same time, it is approved that this proposed affective quantified space is provided with scientificity and practicability. It can be applied at decoration, electronics teaching, picture indexing and emotion calculation.