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Computational Intelligence for Movie Editing

Research output: Contribution to journal › Conference article › peer-review

Abstract

Filmmaking is a multi-billion dollar industry in the modern world and the movie-making process can be subdivided into pre-production, production, and post-production. Postproduction or popularly known as editing is a tedious process that involves a level of technical and artistic capability. The techniques that are still in use are decades old which involves the use of both a machine and manpower. In this study, authors have attempted to study the applicability of Artificial Intelligence for film editing. The study was conducted on identifying different methods of film editing and selected editing based on the shot size and emotion classification. A formula has been derived using a shot size character size ratio and based on it dataset has been developed. Develop application using CNN is able to identify the character emotions and shot type with higher accuracy, therefore, the study outcome suggests that AI can be successfully used in film editing
Original languageEnglish
Pages (from-to)221
Number of pages225
JournalProceedings of the 2nd Annual International Research Symposium –2019
Volume2
Issue number1
Publication statusPublished - 1 Dec 2019

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