• 방송공학회논문지
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• 제14권3호
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• pp.288-298
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• 2009

본 논문에서는 방송콘텐츠 저작권 식별관리를 위한 방송콘텐츠의 Video Signature와 국가표준콘텐츠식별체계인 UCI(Universal Content Identifier)의 연계 방안을 제시한다. Video Signature는 UCI와 같은 식별자의 인위적인 부여 과정이 없더라도 동영상 콘텐츠 자체에서 직접 특징정보를 추출할 수 있기 때문에, 이미 배포 유통된 콘텐츠에 대해서도 식별 확인이 가능하다. 따라서, 본 연구에서는 최근 국가표준콘텐츠식별체계로 통합, 단일화된 UCI 식별체계와 내용기반 식별정보인 Video Signature의 지속적인 연계를 위하여, 바이너리로 표현된 Video Signature를 포함하는 UCI 응용메타데이터를 정의한다. 그리고 UCI 표준식별체계 기반 Video Signature 전송 및 관리 메카니즘에 기반한 방송콘텐츠의 저작권 식별관리 및 부가서비스 시나리오를 제시한다.

• International Journal of Contents
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• 제12권1호
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• pp.1-5
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• 2016

To manipulate large video contents, effective video indexing and retrieval are required. A large number of video indexing and retrieval algorithms have been presented for frame-wise user query or video content query whereas a relatively few video sequence matching algorithms have been proposed for video sequence query. In this paper, we propose an efficient algorithm that extracts key frames using color histograms and matches the video sequences using edge features. To effectively match video sequences with a low computational load, we make use of the key frames extracted by the cumulative measure and the distance between key frames, and compare two sets of key frames using the modified Hausdorff distance. Experimental results with real sequence show that the proposed video sequence matching algorithm using edge features yields the higher accuracy and performance than conventional methods such as histogram difference, Euclidean metric, Battachaya distance, and directed divergence methods.

• 유통과학연구
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• 제21권9호
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• pp.43-53
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• 2023

Purpose: This study aims to examine the demographic similarities and differences in objectives, methodology, and findings of previous studies in the context of gaining financial literacy using videos. This study employs a systematic review design. Research design, data and methodology: Based on the content analysis method, 15 articles were chosen from Scopus and Science Direct during 2015-2020. After formulating the research questions, the paper identification process, screening, eligibility, and quality appraisal are discussed in the methodology. The keywords for the advanced search included "Financial literacy," "Financial Education," and "Video". Results: The results of this study indicate the effectiveness of learning financial literacy using videos. Significant results were obtained when students interacted with the video content distribution. The findings of this study provide an overview and lead to a better understanding of the use of video in financial literacy. Conclusions: This study is important as a guide for educators in future research and practice planning. A systematic review on this topic is the research gap. Video learning was active learning that involved student-centered activities that help students engage with financial literacy. By conducting a systematic review, researchers and readers may also understand how extending an individual's financial literacy may change after financial education.

• International Journal of Contents
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• 제5권4호
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• pp.51-54
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• 2009

In huge video databases, the effective video content indexing method is required. While manual indexing is the most effective approach to this goal, it is slow and expensive. Thus automatic indexing is desirable and recently various indexing tools for video databases have been developed. For efficient video content indexing, the similarity measure is an important factor. This paper presents new similarity measures between frames and proposes a new algorithm to index video content using Kullback-Leibler distance defined between two histograms. Experimental results show that the proposed algorithm using Kullback-Leibler distance gives remarkable high accuracy ratios compared with several conventional algorithms to index video content.

• ETRI Journal
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• 제27권6호
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• pp.806-809
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• 2005

The main goal of this research is automatic video analysis using a face recognition technique. In this paper, an automatic video management system is introduced with a variety of functions enabled, such as index, edit, summarize, and retrieve multimedia data. The automatic management tool utilizes MPEG-7 visual descriptors to generate a video index for creating a summary. The resulting index generates a preview of a movie, and allows non-linear access with thumbnails. In addition, the index supports the searching of shots similar to a desired one within saved video sequences. Moreover, a face recognition technique is utilized to personalbased video summarization and indexing in stored video data.

• Asia pacific journal of information systems
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• 제33권2호
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• pp.282-297
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• 2023

One of the emerging trends in the marketing field is digital video marketing. Online videos offer rich content typically containing more information than any other type of content (e.g., audible or textual content). Accordingly, previous researchers have examined factors influencing videos' popularity. However, few studies have examined what causes a video to remain popular. Some videos achieve continuous, ongoing popularity, while others fade out quickly. For practitioners, videos at the recommendation slots may serve as strong communication channels, as many potential consumers are exposed to such videos. So,this study will provide practitioners important advice regarding how to choose videos that will survive as long-lasting favorites, allowing them to advertise in a cost-effective manner. Using deep learning techniques, this study extracts text from videos and measured the videos' tones, including factual and emotional tones. Additionally, we measure the aesthetic score by analyzing the thumbnail images in the data. We then empirically show that the cognitive features of a video, such as the tone of a message and the aesthetic assessment of a thumbnail image, play an important role in determining videos' long-term popularity. We believe that this is the first study of its kind to examine new factors that aid in ensuring a video remains popular using both deep learning and econometric methodologies.

• 디지털융복합연구
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• 제17권10호
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• pp.433-438
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• 2019

본 논문은 중국의 Mobil Device Platform 기반 영상콘텐츠 Application에 대해 분석하였으며 향후 발전 방안에 대해 연구하였다. 조사에 따르면 2019년 현재 중국의 인터넷 서비스 가입자와 앱 사용자는 전체 인구의 78%를 기록하였다. 독자적으로 Mobil Device Platform을 개발하여 영상콘텐츠 Application 서비스를 제공하고 있으며, 2013년부터 현재까지 동영상 앱 사용자 수가 6억 4천만 명으로 집계되었다. 이중 65%의 사용자는 두 개 이상의 영상콘텐츠 앱을 설치해 사용하는 것으로 나타났다. 중국의 TikTok, Kuai Shou, MeiPai 등 영상콘텐츠 앱은 조작이 간편한 User Interface와 사용자가 손쉽게 영상콘텐츠를 직접 제작 가능하도록 촬영, 편집, 특수효과 등의 기능을 제공함으로서 10대, 20대, 30대 뿐만 아니라 40대 이상의 사용자까지도 끌어들이고 있다. 영상콘텐츠 제작기능 제공은 미국의 유명 동영상 플랫폼 You Tube와는 다른 차별화 된 특징이라 할 수 있다. 동영상 플랫폼 시장에서 핵심 경쟁력은 콘텐츠 창작에 달려있다. VR, AR 등의 영상공학을 융합한 영상콘텐츠는 동영상 플랫폼 시장을 더욱 활성화 시킬 전망이다.

• 대한간호학회지
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• 제42권7호
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• pp.936-946
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• 2012

Purpose: This study was done to develop a video discharge education program focusing on mother-infant interaction to facilitate the development of maternal role confidence for mothers of premature infants. Methods: The process of the program was based on the Network-based Instructional System Design suggested by Jung (1999). For the content of the program, needs and concerns of mothers of premature infants found on web sites and existing literature were analyzed. Based on this content, the scenario and the video were developed. Nurses and mothers of premature infants participated in the process of testing the content validity, scenario development, and evaluation of final video production. The final video has two parts and lasts 21 minutes. The first part focuses on mother-premature infant interaction and the second part focuses on health management of infants. Results: Eleven mothers of premature infants participated in the evaluation of the appropriateness of the video as a teaching method and for educational content. They reported that the content on mother-infant interaction, maternal sensitivity, and maternal role confidence was especially beneficial. Conclusion: The findings indicate that video program is effective for education on maternal-premature infant interaction and the use of video in practical settings is strongly recommended.

• International Journal of Internet, Broadcasting and Communication
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• 제7권1호
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• pp.10-14
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• 2015

Video Content owners seek to squeeze the maximum amount of revenue from their assets via distribution into more territories. Digital Cinema Package(DCP), trusted solution to distribute protected content to theaters, caters to relatively small user base, which limits revenue. With the growth of the Internet & other digital media, the economics of media content has changed dramatically. Security remains main concern to deliver content to millions of consumers using intelligent digital display devices like Tablets, Smartphones, Smart TVs, Desktop & Laptop. By making the video content available to this segment securely, content owners will benefit from increased revenue. Through this paper we propose Open Source HomeDCP model to distribute the content to home users for offline viewing. We propose to include other open source CODEC than JPEG2000/MPEG2, which are specifically designed for theatrical performance. Final image size will be further reduced considering the display device resolution where video will be finally played. Key Delivery Message(KDM) system to be altered to suit new devices. This will be a big boost to Content Economy as content owners would be able to distribute the content securely to the wider audience & ensure more revenue.

• 한국데이타베이스학회:학술대회논문집
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• 한국데이타베이스학회 1998년도 국제 컨퍼런스: 국가경쟁력 향상을 위한 디지틀도서관 구축방안
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• pp.83-98
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• 1998

Who needs Media Asset Management？ ◆ Publishers ◆ Any company publishing newspapers, magazines, catalogs or web sites. ◆ Content Creators ◆ Companies who create content for use in their business ◆ Broadcasters, Advertising Agencies, Studios, Sports Houses (NBA, NFL), Corporate Training Depts, Retailers ◆ Content Distributors ◆ Cable Operators, Telecoms, Internet Service Providers, Online Service Providers Who needs Media Asset Management？ ◆ There's a LOT of money being spent on this kind of technology, and not just by 'media' companies ◆ Retailers, for catalogs, web sites, call centers ◆ Chems/Pharms, for drug. discovery, knowledge management ◆ Legal, for document and knowledge management ◆ Federal, for video surveillance and knowledge management ◆ Manufacturing, for integration of CAD, text and business-to-business applications ◆ Anyone with a Web/Content Management challenge(omitted)