상세정보
학술대회
Scene Emotion Detection using Closed Caption based on Hierarchical Attention Network
- 발행일
- 201710
- 출처
- International Conference on Information and Communication Technology Convergence (ICTC) 2017, pp.1207-1209
- 협약과제
- 17ZH9900, 오픈 시나리오 기반 프로그래머블 인터랙티브 미디어 창작 서비스 플랫폼 개발(이월액), 박종현
- 초록
- This paper proposes a method of emotion detection using closed caption. Closed caption is a one of the texts related with video contents, which can be obtained actual dialogue information. Emotion information in video contents has been used in various service such as video recommendation, video retrieval. To detect scene emotion, we apply hierarchical learning structure of closed caption, such as word-sentence-document. In this paper, we introduce scene emotion detection method based on bidirectional LSTM and hierarchical attention network model. In experiments, we show the results of emotion detection using closed caption which from Korean movie.
- KSP 제안 키워드
- Closed caption, Detection Method, Emotion Detection, Hierarchical learning, Network model, Video contents, Video recommendation, Video retrieval, bidirectional LSTM