ETRI-Knowledge Sharing Plaform

ENGLISH

성과물

논문 검색
구분 SCI
연도 ~ 키워드

상세정보

학술대회 Smart Media Generation System for Broadcasting Contents
Cited 4 time in scopus Download 0 time Share share facebook twitter linkedin kakaostory
저자
손정우, 박원주, 이상윤, 김진우, 김선중
발행일
201708
출처
International Conference on Research and Development in Information Retrieval (SIGIR) 2017, pp.1297-1300
DOI
https://dx.doi.org/10.1145/3077136.3084139
협약과제
17HR2700, 개방형 미디어 생태계 구축을 위한 시맨틱 클러스터 기반 시청상황 적응형 스마트방송 기술 개발, 김선중
초록
Broadcasting contents are the most plausiable resources for services with video contents. Even though we already have huge amount of produced broadcasting contents, there rarely exists a system to analyze and generate information on broadcasting contents to support content retrieval and recommendation services. This paper proposes a new system for this purpose. In the proposed system, a broadcasting content is segmented into semantic units, scenes, based on its multiple characteristics. The proposed system analyzes scenes and generates their keywords, topics, and stories. Connections among scenes are automatically establishing based on shared keywords, similar topics, and consistency in stories. To support operaters, the proposed system offers two tools: Scene Studio and SceneViz. We prepare several Open APIs in the proposed system to provide information and connections for service providers. The feasibility of the proposed system is shown with numerical evaluations on the qualities of generated information. We also introduce two video clip services implemented with our system.
키워드
Broadcasting content, Content mining, Scene segmentation, Smart media, Topic model
KSP 제안 키워드
Broadcasting contents, Content mining, Content retrieval, Generation system, Multiple characteristics, Scene Segmentation, Semantic units, Service Provider, Video clips, Video contents, topic model