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.