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Romantic and Family Movie Database: Towards Understanding Human Emotion and Relationship via Genre-Dependent Movies
Abstract
Movie gains popularity by successfully immersing viewers into affective contents under an emotion perception and elicitation process. Film genre sets the tone of a movie to shape key emotional context during the storytelling procedure. In romantic and family movies, character relationship is a key contextual attribute guiding the whole storyline, which is expected to evoke a sense of being moved in the audience. In this work, we propose Romantic and Family Movie Database, which consists of 1029 movie clips from 10 romantic and family movies. We provide annotations including character relationship type, character relationship status, perceived emotions, induced emotions, and degree of being moved. Our analysis elaborates the inconsistency between perceived and induced valence with the support of annotations including character relationship status and degree of being moved. We also find that being moved and induced arousal are positively correlated in romantic and family movies. We present comprehensive baseline results in recognizing relationship status and emotions using different models and modalities. The database is publicly available at https://rfmd.ee.nthu.edu.tw/
Figures
Label distribution of each annotation
Label distribution of each annotation
Keywords
movie database | film genre | character relationship | degree of being moved | perceived and induced emotions
Authors
Jeng-Lin Li Chi-Chun Lee
Publication Date
2022/10/18
Conference
ACII
2022 10th International Conference on Affective Computing and Intelligent Interaction (ACII)
Publisher
IEEE