동물 캐릭터 적합 배우 추천 알고리즘 연구
A Study on the Actor Recommendation Algorithm for Animal Characters
- 발행
- 2023 등록KCI API에는 발행일 항목이 없어 원문 등록일을 쓰고 있습니다. 실측으로 발행보다 최대 6년 늦습니다 — 재수집하면 발행연월로 바뀝니다.
- 소속·발행
- 동국대학교
- 출처
- 국내 KCI
- 원문
- 원문 보기 ↗
개념
키워드
Actor Recommendation Algorithm, Animal Character, Face Recognition, PCA, CNN, Actor Recommendation Algorithm, Animal Character, Face Recognition, PCA, CNN
초록
This study designed a virtual casting system that can be incorporated into the film industry. Through CNN deep learning and PCA region extraction we obtain face standard data for each animal and store similarity and region vector values in DB. We also leverage two similarity measurements to enable users to accurately provide the desired information. When the user chooses an animal of a character to be implemented in due diligence the recommender system utilizes the existing analyzed DB to provide standardized animal images. This allows users to recommend and cast actors who are most similar to the image of an implemented animal. This work is meaningful in showing that the results of existing studies can be utilized industrially.