메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색

논문 기본 정보

자료유형
학술저널
저자정보
유해영 (서원대학교)
저널정보
한국컴퓨터게임학회 한국컴퓨터게임학회논문지 Journal of The Korean Society for Computer Game Vol.37 No.1
발행연도
2024.3
수록면
139 - 146 (8page)
DOI
10.22819/kscg.2024.37.1.015

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색

초록· 키워드

오류제보하기
The rapid evolution of digital media has significantly impacted advertising content, emphasizing the need for innovative and engaging visual content. This study explores the potential of generative artificial intelligence (AI) in creating short images tailored for advercontent, aiming to bridge the gap between technological advancements and creative advertising needs. This study is an exploratory study on how to create short images for advertising content using generative AI. In the modern media environment, the form and consumption method of advertising content is rapidly changing. In particular, the importance of short-form video and image content on social media and digital platforms is growing. Amid these changes, this study seeks to present a new methodology for creating effective advertising content using generative artificial intelligence technology. The study first reviews the basic theory of generative artificial intelligence and key elements in advertising content production. Based on this, we create short image content using various generative artificial intelligence models. It demonstrates the potential of advertising content production using generative artificial intelligence and provides important implications for the future direction of media content production as well as the advertising industry.

목차

등록된 정보가 없습니다.

참고문헌 (0)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

최근 본 자료

전체보기

댓글(0)

0