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채팅 트래픽 분석을 통한 개인방송 하이라이트 검출 : 게임 콘텐츠를 중심으로

Highlight Detection in Personal Broadcasting by Analysing Chat Traffic : Game Contests as a Test Case

  • 김은율 (서울과학기술대학교 전자IT미디어공학과) ;
  • 이계민 (서울과학기술대학교 전자IT미디어공학과)
  • Kim, Eunyul (Dept. of Electronic and IT Media Engineering, Seoul National University of Science and Technology) ;
  • Lee, Gyemin (Dept. of Electronic and IT Media Engineering, Seoul National University of Science and Technology)
  • 투고 : 2017.12.29
  • 심사 : 2018.03.16
  • 발행 : 2018.03.30

초록

최근 개인방송 콘텐츠의 수가 급증함에 따라 시청자의 선택이 용이하도록 방송 내용 중 흥미를 끌 만한 장면을 모아 하이라이트를 제공하는 서비스에 대한 요구가 커지고 있다. 본 논문에서는 채팅 트래픽 정보가 하이라이트 검출에 유용함을 보이고 채팅 트래픽을 이용하여 하이라이트를 검출하는 방법을 제시한다. 또한, 하이라이트 검출에 있어 채팅 트래픽 사용의 효용성을 평가하기 위해 평가 방법을 제안한다. 검출 알고리즘은 시청자 선호도가 높은 게임 방송에 적용하여 그 성능을 확인하였다.

As the number of personal broadcasting contents is rapidly increasing, the demand for a service that provides highlights is growing. A highlight, a collection of interesting scenes, can improve the quality of viewing experience. In this paper, we propose a method to automatically detect highlights using only chat traffic information. We also propose evaluation methods the effectiveness of using chat traffic in highlight detection. We apply the detection algorithm to game broadcasting, which has larger audience, and demonstrate its performance.

키워드

참고문헌

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