• 제목/요약/키워드: Online Video

검색결과 436건 처리시간 0.024초

실시간 온라인 수업 수강자들의 집중력 기반 복습 지원 도구의 설계 및 구현 (Design and Implementation of a Concentration-based Review Support Tool for Real-time Online Class Participants)

  • 김태환;조대수;박승민
    • 한국전자통신학회논문지
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    • 제18권3호
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    • pp.521-526
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    • 2023
  • 최근 팬데믹으로 인하여 대부분의 교육 시스템은 비대면 강좌를 통해 이루어지고 있다. 비대면 강좌는 대면강좌와는 달리 수강자들이 집중을 유지하는데 더욱 어려우며, 평가 목록 중 하나인 수업 태도에 대한 교수자의 평가 또한 어렵다. 본 논문에서는 비대면 강좌에서 사용할 수 있는 실시간 화상 강의에서 수강자들의 집중력 기반 복습 지원 시스템을 제안한다. 이 시스템은 기존의 화상 시스템에서 사용하는 장비를 이용하여 수강자의 얼굴, 동공 및 사용자 활동을 실시간으로 측정하여 이를 교수자에게 여러 가지의 형태로 수강자의 실시간 집중도 측정값을 전달한다. 동시에 집중도 측정값이 일정 수준보다 낮아지면 수강자에게 알림을 주며 동시에 강의의 타임스탬프를 기록해 주도록 한다. 이 시스템을 이용하여 교수자가 수업 시 실시간으로 수강자들의 수업 참여 여부 확인 및 수강자들의 수업 태도를 평가하는 데 도움을 주고 수강자들의 수업 능력을 향상 시켜주도록 한다.

인공지능 맞춤 추천서비스 기반 온라인 동영상(OTT) 콘텐츠 제작 기술 비교 (Comparison of online video(OTT) content production technology based on artificial intelligence customized recommendation service)

  • 전상훈;신승중
    • 한국인터넷방송통신학회논문지
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    • 제21권3호
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    • pp.99-105
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    • 2021
  • 넥플릭스,유튜브로 대표되는 OTT 동영상 제작 서비스에 인공지능으로 콘텐츠를 개인별 맞춤식 추천 시스템은 보편화 되었다. 유튜브의 개인별 맞춤 추천서비스 시스템은 두 개의 신경망으로 구성되는데 신경망 하나는 추천 후보생성 모델이고 다른 하나는 순위평가 네트워크로 구성된다. Netflix의 동영상 추천 시스템은 두 개 데이터 분류 시스템으로 구성되어 있으며 콘텐츠 기반 필터링과 협업 필터링으로 나누어진다. 코로나 펜데믹으로 온라인 플랫폼 주도의 콘텐츠 제작이 활성화 되면서 인공지능을 활용한 가상 인플루언서 분야가 부각되고 있다. 가상인플루언서는 GAN(Generative Adversarial Networks) 인공지능으로 제작되는데 성격이 다른 두 시스템이 서로 경쟁하는 방식으로 학습이 반복되는 비교사(Unsupervised) 학습 알고리즘이다. 이 연구는 AI 개인별 추천 기반 플랫폼과 가상인플루언서(메타버스)가 향후 OTT의 핵심콘텐츠로의 발전 가능성도 연구해 보았다.

SNA(Social Network Analysis)를 활용한 코로나19 전후의 가정과교육 유튜브 콘텐츠 변화 분석 (Social Network Analysis of Changes in YouTube Home Economics Education Content Before and After COVID-19)

  • 심재영;김은경;고은미;김형선;박미정
    • Human Ecology Research
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    • 제60권1호
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    • pp.1-20
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    • 2022
  • This paper presents a social network analysis of changes in Home Economics education content loaded on YouTube before and after the outbreak of COVID-19. From January 1, 2008 to June 30, 2021, a basic analysis was conducted of 761 Home Economics education videos loaded on YouTube, using NetMiner 4.3 to analyze important keywords and the centrality of video titles and full texts. Before COVID-19, there were 164 Home Economics education videos posted on YouTube, increasing significantly to 597 following the emergence of the pandemic. In both periods, there was more middle school content than high school content. The content in the child-family field was the most, and the main keywords were youth and family. Before COVID-19, a performance evaluation indicated that the proportion of student content was high, whereas after the outbreak of the disease, teacher content increased significantly due to the effect of distance learning. However, compared with video use, the self-expression and participation of users were lower in both periods. The centrality analysis indicated that in the title, 'family' exhibited a high degree of both centrality and eigenvector centrality over the entire period. Degree centrality of the video title was found to be high in the order of class, online, family, management, etc. after the outbreak of COVID-19, and the connection of keywords was strong overall. Eigenvector centrality indicated that career, search, life, and design were influential keywords before COVID-19, while class, youth, online, and development were influential keywords after COVID-19.

서브버시브 베이식(subversive basics) 동영상 콘텐츠의 패션디자인 특성과 트렌드 확산방식에 관한 연구 (A Study on Fashion Design Characteristics and Trend Diffusion in Subversive Basics Online Video Content)

  • 임민정
    • 패션비즈니스
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    • 제27권4호
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    • pp.88-100
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    • 2023
  • This study analyzed the compositional characteristics of fashion videos and the characteristics of fashion design spreading as trends through Subversive Basics. Literature research and case studies were conducted concurrently. Based on the literature review, an analysis method was designed, focusing on the concept of online video content, Subversive Basics, and the video content type. For the case analysis, videos were collected and classified using Subversive Basics as the keyword. The content was observed, and design features were analyzed. Based on the results, the collected videos were classified into tutorial, curation, and creative content types according to their compositional characteristics. Tutorial content emphasizes practical actions that demonstrate how to make or modify clothing, thereby promoting user-generated content for dissemination. Curation contents provide users with style ideas and information about clothing and purchases to encourage clothing purchases and influence purchase decisions that lead to dissemination through clothing consumption and wear. Creative content showcases the process of modifying and creating clothes to enhance understanding and value of creative design. The characteristics of fashion design utilized in these contents include bold designs with high visual effects as the first category, designs that can be easily and quickly modified due to intentional incompleteness as the second category, and prominently featured body-positive, individualistic designs as the third category. The results of this study can be associated with balanced development between basic design elements and personalized unique designs, catering to consumer needs.

비대면 화상 플랫폼에서의 패션 이미지 표현 특성 -20~30대 한국 직장인 여성을 중심으로- (Fashion Image Expression on Video Conferencing Platforms -Focusing on Korean Female Office Workers in Their 20s and 30s-)

  • 임수진;하지수
    • 한국의류학회지
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    • 제48권1호
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    • pp.20-36
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    • 2024
  • Over the past three years, even amidst viral threats, a notable shift towards online interactions has been observed. This trend persists the presence of significant viral concerns. Our study centered on female office workers in their twenties and thirties in Korea, seeking to comprehend how they enhance and present their external image in the digital era. We explored the use of digital devices and fashion choices that enable them to amplify their self-expression in video conferences. Using a mix of surveys and in-depth interviews, we employed snowball sampling to recruit twelve participants. These women were given the opportunity to shape their digital persona either to uphold their current image or to adapt it for interactions where they weren't face-to-face. Their desired images fell into three distinct categories: an authoritative professional image, a clean modern image, and a natural image. Depending on the context, the participants aimed to convey these images independently or in various combinations. Our findings suggest the need to develop strategies for acknowledging and projecting individual fashion identities in non-face-to-face interactions. Such strategies would empower individuals to better align their online personas with their desired self-image, whether it's professional, modern, clean, natural, or a combination thereof.

Effects of a Video-Based Infection Control Education Program Applying the Social Cognitive Theory on Caregivers

  • Cho, Hye Young
    • International Journal of Contents
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    • 제15권2호
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    • pp.20-28
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    • 2019
  • This study was conducted with a non-equivalent control group experimental design to investigate the effects of a video-based infection control program through the application of the social cognitive theory on caregivers. Forty-six caregivers were recruited, with 23 pairs being randomly assigned to the control and experimental groups each. While the experimental group took part in the video-based education, the control group was involved in typical lectures. For two weeks, both groups were educated on the principles of infection control, medical and external handwashing, standard precautions, and quarantine. Their knowledge, performance, and self-efficacy were evaluated before and after the program. There was a significant increase in knowledge (p<.001 and p=.005) and infection control performance (p<.001) in the experimental and control groups. Similarly, self-efficacy, self-regulatory efficacy, task-difficulty preference and confidence significantly increased in the experimental group (p<.001). In the control group, only task-difficulty preference significantly increased (p=.005). Consequently, the online video-based infection control education program applying the social cognitive theory proved effective in improving the caregivers' knowledge and performance in infection control, and their self-efficacy. We suggest the use of this program in effective infection control education for caregivers in the future.

효과적인 온라인 학습을 위한 학습자특성과 선호도 분석 (Analysis of Learners' Characteristics and Preferences for Effective Online Learning)

  • 이영림;임희주
    • 융합정보논문지
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    • 제11권12호
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    • pp.138-147
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    • 2021
  • 본 연구의 목적은 효과적인 온라인 학습을 위해 대학 온라인수업에 참여한 학생들의 특성과 선호도를 살펴보고 분석하는 데 있다. 총 101명의 온라인수업에 참여한 대학생이 학생들 개인의 특성과 온라인수업에 영향을 미치는 학습요인들을 포함한 설문 작성을 완료하였다. 연구 결과, 남학생이 여학생보다, 녹화영상으로 학습한 학생들이 실시간수업으로 학습한 학생들보다 온라인수업이 더 효과적이라고 답할 확률이 높았다. 또한 온라인학습 시 어려웠던 점을 분석한 결과, 스스로 학습과 교수자에게 질문하기 어려움이 있는 학생들에게는 온라인 학습이 비효과적일 확률이 높았다. 온라인 강의 학습시간이 많은 학생들과는 달리 과제수행시간이 많은 학생들에게는 온라인수업이 더 효과적일 확률이 높았다. 이러한 결과는 수동적으로 수업에 참여하는 학생들보다 능동적이고 자기주도적으로 학습하는 유형의 학생들에게 온라인학습이 더 효과적이라고 할 수 있겠다. 본 연구의 시사점으로, 온라인수업의 학습효과를 높이기 위해서 학습자의 특성과 선호도를 바탕으로 온라인수업을 설계하여 교육의 질을 높이는 노력이 필요하겠다.

움직임 분석 기반의 시각인지 모델을 이용한 비디오 코딩 방법 (Video Coding Method Using Visual Perception Model based on Motion Analysis)

  • 오형석;김원하
    • 방송공학회논문지
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    • 제17권2호
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    • pp.223-236
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    • 2012
  • 본 논문에서는 인간 인지 기반 비디오 코딩을 위한 비디오 처리 방법을 개발한다. 제안하는 방법은 율-왜곡(rate-distortion) 최적화의 영향뿐만 아니라 제한적인 시, 공간 해상도, 지역적인 움직임 이력(history), visual saliency에 의한 인간 시각 인지를 고려한다. 이러한 인간의 인지적인 효과들을 고려하기 위하여 본 논문에서는 움직임 패턴을 모델링하고 Hedge 알고리듬을 사용하여 움직임 패턴을 결정하는 기법을 개발한다. 그 다음, 제안한 움직임 패턴과 기존의 visual saliency와의 결합을 통하여 인간 시각 인지 모델을 수립한다. 제안된 인간 시각 인지 모델을 구현하기 위하여 기존의 foveation filtering 방법을 확장한다. 시각적 자극이 덜한 지역만을 부드럽게(smoothing)하는 기존의 foveation filtering 기법과 비교하여 제안하는 foveation filtering 기법은 인간 시각 인지 모델에 따라 지역적으로 부드럽게 또는 지역적 특성을 향상시킴으로써, 시각적 자극이 덜한 지역에서 줄여진 대역폭을 효과적으로 시각적 자극이 큰 지역에서 사용하도록 이동 시킬 수 있는 장점이 있다. 제안된 방법의 성능은 전반적인 비디오 화질을 만족할 뿐만 아니라 인간이 인지하는 화질의 품질을 12%~44% 향상시킨다.

Research on the Uses and Gratifications of Tiktok (Douyin short video)

  • Yaqi, Zhou;Lee, Jong-Yoon;Liu, Shanshan
    • International Journal of Contents
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    • 제17권1호
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    • pp.37-53
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    • 2021
  • With the advent of the 5G era, smart phones and communications network technology have progressed, and mobile short video of people's life can be made, Of the new tools of communication, at present, China's social short video industry has shown rapid development, and the most representative of the short video app is Douyin (international version: Tiktok). Under the background of Uses and Gratifications Theory, this study discusse the relationship between Douyin users' preference degree, use motivation, use satisfaction and attention intention. This study divides the content of Douyin video into 10 categories, selects the form of an online questionnaire survey, uses SPSS software to conduct quantitative analysis of 202 questionnaires after screening, and finally draws the following conclusions: (1) The content preference degree of Douyin short video (the high group and low group) is different in users' use motivation, users' satisfaction degree and users' attention intention. ALL results are within the range of statistical significance.(2) Douyin users' video content preference degree has a positive impact on users' use motivation, users' satisfaction degree, and users' attention intention. (3) Douyin users' motivation has a positive impact on users' satisfaction and user' attention intention. (4) Douyin users' satisfaction degree has a positive impact on users' attention intention. Based on the research results, we suggest that Douyin platform pushes videos according to users' preferences. In addition, as the preference degree has an impact on users' motivation, satisfaction degree and attention intention of using the platform, it is important that the platform's focus should to pay attention to the preference degree of users. Collecting users' preferences at the early stage of users' entering the platform is a good way to learn from, and doing a good job of big data collection and management in the later operation.

YouTube as a source of patient education information for elbow ulnar collateral ligament injuries: a quality control content analysis

  • Yu, Jonathan S;Manzi, Joseph E;Apostolakos, John M;Carr II, James B;Dines, Joshua S
    • Clinics in Shoulder and Elbow
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    • 제25권2호
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    • pp.145-153
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    • 2022
  • Background: While online orthopedic resources are becoming an increasingly popular avenue for patient education, videos on YouTube are not subject to peer review. The purpose of this cross-sectional study was to evaluate the quality of YouTube videos for patient education in ulnar collateral ligament (UCL) injuries of the elbow. Methods: A search of keywords for UCL injury was conducted through the YouTube search engine. Each video was categorized by source and content. Video quality, reliability, and accuracy were assessed by two independent raters using five metrics: (1) Journal of American Medical Association (JAMA) benchmark criteria (range 0-4) for video reliability; (2) modified DISCERN score (range 1-5) for video reliability; (3) Global Quality Score (GQS; range 1-5) for video quality; (4) ulnar collateral ligament-specific score (UCL-SS; range 0-16), a novel score for comprehensiveness of health information presented; and (5) accuracy score (AS; range 1-3) for accuracy. Results: Video content was comprised predominantly of disease-specific information (52%) and surgical technique (33%). The most common video sources were physician (42%) and commercial (23%). The mean JAMA score, modified DISCERN score, GQS, UCL-SS, and AS were 1.8, 2.4, 1.9, 5.3, and 2.7 respectively. Conclusions: Overall, YouTube is not a reliable or high-quality source for patients seeking information regarding UCL injuries, especially with videos uploaded by non-physician sources. The multiplicity of low quality, low reliability, and irrelevant videos can create a cumbersome and even inaccurate learning experience for patients.