The premise of image emotion recognition is to determine its representative emotional adjectives and establish the quantifiable emotion space. In this paper, focusing on aroused emotion from film and television(TV) sc...The premise of image emotion recognition is to determine its representative emotional adjectives and establish the quantifiable emotion space. In this paper, focusing on aroused emotion from film and television(TV) scene images, a method of selecting emotional adjectives and establishing the emotion space based on subjective perception experiment is proposed. Firstly, a special data set about film and TV scene images was established and a set of initial emotional adjectives was collected. Then the subjective perception experiment was designed to let subjects to evaluate the affection of all the initial adjectives during watching these scene images. Then the method of principal basis analysis was used for variable selection. Finally, the factor analysis was applied to accomplish the second dimension reduction to form a 5-dimensional(5 D) orthogonal emotion space. The optimized emotion space can explain more than 94% of original emotional adjectives, which greatly reduces the dimension of emotional adjectives and lays a foundation for the further research on image content and emotion recognition.展开更多
基金supported by the Research on Automatic Recommendation Method of Lighting Effect for Popular Music Emotion(WHB1801)the Research on Calculation and Key Technology of Personalized Image Emotion Perception(3132018XNG1869)
文摘The premise of image emotion recognition is to determine its representative emotional adjectives and establish the quantifiable emotion space. In this paper, focusing on aroused emotion from film and television(TV) scene images, a method of selecting emotional adjectives and establishing the emotion space based on subjective perception experiment is proposed. Firstly, a special data set about film and TV scene images was established and a set of initial emotional adjectives was collected. Then the subjective perception experiment was designed to let subjects to evaluate the affection of all the initial adjectives during watching these scene images. Then the method of principal basis analysis was used for variable selection. Finally, the factor analysis was applied to accomplish the second dimension reduction to form a 5-dimensional(5 D) orthogonal emotion space. The optimized emotion space can explain more than 94% of original emotional adjectives, which greatly reduces the dimension of emotional adjectives and lays a foundation for the further research on image content and emotion recognition.
