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학술대회 SVIAS: Scene-segmented Video Information Annotation System
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저자
이호재, 곽창욱, 손정우, 김선중
발행일
201810
출처
International Conference on Multimedia (MM) 2018, pp.1267-1269
출판사
ACM
DOI
https://dx.doi.org/10.1145/3240508.3241400
협약과제
18ZH1300, 오픈 시나리오 기반 프로그래머블 인터랙티브 미디어 창작 서비스 플랫폼 개발, 박종현
초록
We had designed the scene-segmented video information annotation system using video segmentation and information annotation. For video segmentation, the proposed system adapts the multiview deep convolution neural network. Segmented scenes are annotated by using the unsupervised sentence embedding model for closed captions. Both functionalities effectively work together with the web interface designed to tie not only our functionalities but also external content providers.
키워드
Deep learning, Information annotation, Video segmentation
KSP 제안 키워드
Closed caption, Convolution neural network(CNN), Deep Convolution Neural Network(DCNN), Embedding model, Video Segmentation, annotation system, deep learning(DL), video information, web interface