中国邮电高校学报(英文) ›› 2019, Vol. 26 ›› Issue (1): 75-81.doi: 10.19682/j.cnki.1005-8885.2019.0008

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

苏志斌1,钱亚红2,谷雨2,任慧1   

  1. 1. 中国传媒大学
    2.
  • 收稿日期:2018-07-13 修回日期:2018-12-17 出版日期:2019-02-26 发布日期:2019-02-27
  • 通讯作者: 任慧 E-mail:renhui@cuc.edu.cn
  • 基金资助:
    面向流行音乐情感的灯光效果自动推荐方法研究;个性化图像情感感知的计算与关键技术研究

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

  • Received:2018-07-13 Revised:2018-12-17 Online:2019-02-26 Published:2019-02-27

摘要: 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.

关键词: film and television scene images, subjective perception, emotion space, principal basis analysis, factor analysis

Abstract: 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.

Key words: film and television scene images, subjective perception, emotion space, principal basis analysis, factor analysis

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