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Subjective tests for gathering knowledge for applying color grading to video clips automatically

Abstract

The analysis of film music concerning caused emotions may allow for a more accurate adaptation of the color of the film in the context of color grading. Therefore, this paper aims to gather knowledge on the correlation between the applied color palette to a video clip, music associated with a particular shot, and emotions evoked. For that purpose, subjective tests are prepared in which several video clips are presented with or without the accompanying music along with several models to describe emotions. The test is composed of three stages. First, video shots are presented: the role of the viewer is to assign the associated emotion on graphs representing the emotion model (Hevner’s, Thayer’s, Plutchik’s). The first part of the test is organized to check which of the emotion models is the easiest to associate the adapted color grading with emotion. Then, the test is repeated with the chosen psychological model on new video shots. The final phase consists of testing the same video shots but with accompanying music. In the paper, the meaning of the color in the film is explained based on the psychology of the color in film production. To analyze the sound path of the film, both low- and high-level parameters are given. Also, objective color measures corresponding to the tested film video shot are recalled. Assumptions for detecting emotions in the video shots to apply color grading automatically are also depicted.

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Copyright (2019, IEEE)

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Category:
Conference activity
Type:
publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
Language:
English
Publication year:
2019
Bibliographic description:
Weber D., Kostek B.: Subjective tests for gathering knowledge for applying color grading to video clips automatically// / : , 2019,
DOI:
Digital Object Identifier (open in new tab) 10.23919/spa.2019.8936722
Verified by:
Gdańsk University of Technology

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