Evaluation of a video generation method linking dance and scenes

Yui Yoshikawa; Hidehiko Shishido; Yoshinari Kameda; Itaru Kitahara

doi:10.1117/12.2666428

25 March 2023 Evaluation of a video generation method linking dance and scenes

Yui Yoshikawa, Hidehiko Shishido, Yoshinari Kameda, Itaru Kitahara

Proceedings Volume 12592, International Workshop on Advanced Imaging Technology (IWAIT) 2023; 125920C (2023) https://doi.org/10.1117/12.2666428
Event: International Workshop on Advanced Imaging Technology (IWAIT) 2023, 2023, Jeju, Korea, Republic of

Abstract

Owing to the impact of COVID-19, the venues for dancers to perform have shifted from the stage to the media. In this study, we focus on the creation of dance videos that allow audiences to feel a sense of excitement without disturbing their awareness of the dance subject and propose a video generation method that links the dance and the scene by utilizing a sound detection method and an object detection algorithm. The generated video was evaluated using the Semantic Differential method, and it was confirmed that the proposed method could transform the original video into an uplifting video without any sense of discomfort.

Citation Download Citation

Yui Yoshikawa, Hidehiko Shishido, Yoshinari Kameda, and Itaru Kitahara "Evaluation of a video generation method linking dance and scenes", Proc. SPIE 12592, International Workshop on Advanced Imaging Technology (IWAIT) 2023, 125920C (25 March 2023); https://doi.org/10.1117/12.2666428

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