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딥러닝 기반 스포츠 캐스팅
Sports Broadcasting with Deep Learning
- 김병조;
- 최용석
초록
Sports broadcasting requires understanding and reasoning of a current situation based on information regarding sports scenes, players, and past knowledge. In this paper, we introduced how scene classifier, player detector, motion recognizer could be used to obtain information on sports images and understand current situations. We created three types of commentaries. One was from web data, another was from 13 scenes with scene classifier, and the other was generated by the position of the players, eight motions, and the ontology. Data from the KBO (Korea Baseball Organization League) games from April 1, 2018, to April 14, 2018, were directly labeled to learn the model.
키워드
딥러닝; 물체 검출; 사람 검출; 행동 인식; 온톨로지; 스포츠 캐스팅; deep-learning; object detection; human detection; motion recognition; ontology; sports commentary
- 제목
- 딥러닝 기반 스포츠 캐스팅
- 제목 (타언어)
- Sports Broadcasting with Deep Learning
- 저자
- 김병조; 최용석
- 발행일
- 2019-10
- 저널명
- 정보과학회논문지
- 권
- 46
- 호
- 10
- 페이지
- 1020 ~ 1024