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학술지 Improved Quality Keyframe Selection Method for HD Video
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저자
양현석, 이종민, 정우진, 김승희, 김선중, 문영식
발행일
201906
출처
KSII Transactions on Internet and Information Systems, v.13 no.6, pp.3074-3091
ISSN
1976-7277
출판사
한국인터넷정보학회
DOI
https://dx.doi.org/10.3837/tiis.2019.06.017
협약과제
17HR2700, 개방형 미디어 생태계 구축을 위한 시맨틱 클러스터 기반 시청상황 적응형 스마트방송 기술 개발, 김선중
초록
With the widespread use of the Internet, services for providing large-capacity multimedia data such as video-on-demand (VOD) services and video uploading sites have greatly increased. VOD service providers want to be able to provide users with high-quality keyframes of high quality videos within a few minutes after the broadcast ends. However, existing keyframe extraction tends to select keyframes whose quality as a keyframe is insufficiently considered, and it takes a long computation time because it does not consider an HD class image. In this paper, we propose a keyframe selection method that flexibly applies multiple keyframe quality metrics and improves the computation time. The main procedure is as follows. After shot boundary detection is performed, the first frames are extracted as initial keyframes. The user sets evaluation metrics and priorities by considering the genre and attributes of the video. According to the evaluation metrics and the priority, the low-quality keyframe is selected as a replacement target. The replacement target keyframe is replaced with a high-quality frame in the shot. The proposed method was subjectively evaluated by 23 votes. Approximately 45% of the replaced keyframes were improved and about 18% of the replaced keyframes were adversely affected. Also, it took about 10 minutes to complete the summary of one hour video, which resulted in a reduction of more than 44.5% of the execution time.
키워드
Keyframe extraction, Shot-based keyframe selection, Video analysis, Video summarization, VOD
KSP 제안 키워드
High-quality, Keyframe Extraction, Keyframe selection, Large capacity, Multimedia data, Quality Metrics, Selection method, Service Provider, Shot boundary detection, VOD service, Video on Demand