전자통신동향분석 (Electronics and Telecommunications Trends)

한국전자통신연구원 (Electronics and Telecommunications Research Institute)
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비디오 시각적 관계 이해 기술 동향

Trends in Video Visual Relationship Understanding

  • 권용진 (시각지능연구실) ;
  • 김대회 (시각지능연구실) ;
  • 김종희 (시각지능연구실) ;
  • 오성찬 (시각지능연구실) ;
  • 함제석 (시각지능연구실) ;
  • 문진영 (시각지능연구실)
  • Y.J. Kwon ;
  • D.H. Kim ;
  • J.H. Kim ;
  • S.C. Oh ;
  • J.S. Ham ;
  • J.Y. Moon
  • 발행 : 2023.12.01
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⟨ 이전 논문 다음 논문 ⟩

초록

Visual relationship understanding in computer vision allows to recognize meaningful relationships between objects in a scene. This technology enables the extraction of representative information within visual content. We discuss the technology of visual relationship understanding, specifically focusing on videos. We first introduce visual relationship understanding concepts in videos and then explore the latest existing techniques. Next, we present benchmark datasets commonly used in video visual relationship understanding. Finally, we discuss future research directions in video visual relationship understanding.

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과제정보

이 논문은 과학기술정보통신부의 재원으로 정보통신기획평가원의 지원을 받아 수행된 연구임[No. 2020-0-00004, 장기 시각 메모리 네트워크 기반의 예지형 시각지능 핵심기술 개발].

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