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Research on emotion space of film and television scene images based on subjective perception

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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 (5D) 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.

film and television scene imagessubjective perceptionemotion spaceprincipal basis analysisfactor analysis

Su Zhibin、Qian Yahong、Gu Yu、Ren Hui

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School of Information and Communication Engineering, Communication University of China, Beijing 100024, China

School of Humanities and Social Sciences, Beihang University, Beijing 100191, China

This work was supported by the Research on Automatic Recommendation Method of Lighting Effect for Popular Music EmotionResearch on Calculation and Key Technology of Personalized Image Emotion Perception

WHB18013132018XNG1869

2019

中国邮电高校学报(英文版)
北京邮电大学

中国邮电高校学报(英文版)

CSCDEI
影响因子：0.419
ISSN：1005-8885
年,卷(期)：2019.26(1)
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