• 방송공학회논문지
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• 제24권3호
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• pp.506-514
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• 2019

본 논문은 케이블VOD 서비스를 통해 제공되고 있는 다양한 서비스 속성들의 유형을 분류하고, 주요 서비스 속성 유형들이 유료VOD 이용 경험자 집단과 비경험자 집단 각각의 유료VOD 이용 의향에 어느 정도 영향을 미치고 있는가를 살펴보았다. 연구 결과, 비경험자 집단의 경우, '콘텐츠 정보 중시형 속성'이 가장 크게 영향을 미치는 것으로 나타났고, 경험자 집단의 경우에는 '이용 편의성 중시형 속성'이 가장 크게 영향을 미치는 것으로 나타났다. 따라서 유료VOD 서비스 이용자 확대를 위해서는 각각의 집단 특성에 맞는 단계별 전략을 수립하여야 한다. 비경험자 집단의 경우, 관련 정보 제공을 통한 직접 설득 전략과 프로모션 기회 확대를 통한 간접 접근 전략을 취하고, 경험자 집단의 경우, 기능적 편의성 확대 전략을 취할 필요가 있다.

• Asian Journal of Innovation and Policy
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• 제5권2호
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• pp.185-196
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• 2016

A digital cable broadcasting service is a multimedia broadcasting service that provides high definition and various supplementary services by using digital transmission. Korea implemented a complete digital broadcasting service by 2012. This study applied a choice experiment to investigate consumer preferences, and it calculated the marginal willingness to pay for this service. Moreover, we employed a multinomial probit model to relax the assumption that all respondents have the same preference for attributes being valued. The results suggest that respondents value channels, definition, video-on-demand (VOD) service, pay-per-view (PPV) service, and commerce based on TV (T-commerce). On the other hand, online gaming may be less important as an attribute for digital cable broadcasting service in Korea.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권6호
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• pp.3074-3091
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• 2019

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.