Tech Papers 2023: This paper explains a machine learning (ML) system that analyzes the visuals, audio, and transcript of a video segment to determine its dominant emotion and then select or generate the most aesthetically fitting background music to reduce production time and cost.
Abstract
Background music scores are an integral part of movies or shows that we enjoy. It amplifies the impact and aesthetic appeal of the dialogues and scenes. With exponential growth in content production, what can be an agile, scalable and cost-effective mechanism to attach the best-fit background score for a scene? Relying and churning a musician’s creativity every time is costly and slow. Social media platforms pre-acquire music rights, and provide an asset library to content creators to choose from. What if the same can be extended for ...
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