• Title/Summary/Keyword: 온라인영상

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A Study on Synchronization of Video and Virtual Reality Data for On-line Education (온라인 교육을 위한 동영상과 가상현실 데이터의 동기화에 관한 연구)

  • Sun Bok-Keun;Han Kwang-Rok
    • Journal of Korea Multimedia Society
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    • v.8 no.3
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    • pp.389-397
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    • 2005
  • In this paper, we study the synchronization method of animated simulations and VRs for on-line virtual reality education system. To build the data of animated simulations and synchronization modules of VRML content, the media-synchronizing technology, HTML + TIME and scripts are used. The VRML control module ismade into Java applet using the Java EAI provided for the web and the interface for VRML contents. To control the animation of VRML contents, the node information is extracted, and an animation production template capable of controlling animation in inter-connection with VRML content is made. With evaluation of the animation control performance, processing speed, synchronization performance between media in the system built, more improved results are obtained. We would like to suggest a education system with easy system construction and various multi-medium applicability by realizing HTML + TIME media synchronization and VRML web 3D virtual reality creation techniques, and animated images and 3D animation controls according to time using Java through this study.

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A Study on the Utilization of Online Contents Subscription Services : Focusing on Digital Literacy, Purchase Tendencies, Personality Types, and Contents Consumption Experience (온라인 콘텐츠 구독 서비스 이용에 대한 연구: 디지털 리터러시, 제품 구매 성향, 성격 유형, 이용 경험을 중심으로)

  • Lim, Ji-an;Sung, WookJoon
    • Informatization Policy
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    • v.31 no.2
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    • pp.105-132
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    • 2024
  • This study seeks to investigate the factors influencing the utilization of online contents subscription services. In this study, the current number of online contents services subscribed to is set as the dependent variable. The independent variables include conspicuous product purchasing tendencies, personality types, experience with online contents consumption, and digital literacy. The research results indicate that digital literacy, agreeableness, and sociability among personality traits, as well as experience with online contents consumption, significantly impact the use of online contents subscription services. However, conspicuous product purchasing tendencies and personality traits such as openness and extroversion did not have a significant effect on the utilization of online contents subscription services.

Image Cache for FPGA-based Real-time Image Warping (FPGA 기반 실시간 영상 워핑을 위한 영상 캐시)

  • Choi, Yong Joon;Ryoo, Jung Rae
    • Journal of the Institute of Electronics and Information Engineers
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    • v.53 no.6
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    • pp.91-100
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    • 2016
  • In FPGA-based real-time image warping systems, image caches are utilized for fast readout of image pixel data and reduction of memory access rate. However, a cache algorithm for a general computer system is not suitable for real-time performance because of time delays from cache misses and on-line computation complexity. In this paper, a simple image cache algorithm is presented for a FPGA-based real-time image warping system. Considering that pixel data access sequence is determined from the 2D coordinate transformation and repeated identically at every image frame, a cache load sequence is off-line programmed to guarantee no cache miss condition, and reduced on-line computation results in a simple cache controller. An overall system structure using a FPGA is presented, and experimental results are provided to show accuracy and validity of the proposed cache algorithm.

Classification of Satellite image by Self-Organizing Maps (자기 조직화 신경망을 이용한 위성영상 분류)

  • 진영근
    • Proceedings of the Korean Information Science Society Conference
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    • 2000.10b
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    • pp.350-352
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    • 2000
  • 위성이 보내어오는 영상의 량은 인간이 일일이 실시간으로 검색할 수 없을 정도의 방대한 양이다. 그러므로 위성이 보내어오는 영상을 자동적으로 빠른 시간내에 분석하기 위하여 원패스로 성질이 유사한 영역을 묶어서 분류하는 알고리즘이 필요하다. 본 연구에서는 자기조직화 신경망(SOM)을 인공위성 영상을 원패스에 분할할 수 있도록 학습방법을 개선하였으며 개선된 SOM 알고리즘이 같은 원패스 알고리즘인 온라인 K-means과 비교하여 유효함을 알 수 있었다.

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화상 영상 등을 포함한 멀티미디어 정보

  • Kim, Haeng-Won
    • Digital Contents
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    • no.11 s.54
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    • pp.46-52
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    • 1997
  • Nikkei Telecom 21은 일본경제신문사의 종합정보시스템인 NEEDS의 서브시스템으로 인터넷으로 NIKKEI 그룹의 정보를 제공하는 온라인 데이터베이스 시스템으로 일본에서는 지난해 말부터 국내에서는 금년 8월부터 서비스되기 시작했다. 최신 뉴스를 리얼타임으로 제공하는 정보시스템인 닛케이 텔레콤 21은 텍스트정보 뿐만 아니라 화상, 영상 등을 포함한 본격적인 멀티미디어정보시스템이다.

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Satisfaction with Online Classes Due to COVID-19 Pandemic (COVID-19로 인한 전면 온라인 수업에 대한 만족도)

  • Kim, Soo-Jin
    • Journal of Convergence for Information Technology
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    • v.11 no.7
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    • pp.118-127
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    • 2021
  • This study aims to examine satisfaction of nursing students with online classes during first semester of 2020 after COVID-19 pandemic and the difference in satisfaction according to general and online-related characteristics. An online survey was conducted for all nursing students, and subsequently 627 responses were analyzed by t-test and ANOVA with SPSS WIN. Result reveals that students ability to use IT devices was above average, and most of them used laptop computers. Pre-recorded video lecture format was used the most, and improvement of online content was demanded the highest. Overall satisfaction with online classes was scored 3.0/5.0, with the highest satisfaction for anytime and anywhere learning, and the lowest satisfaction in recommending online classes to others. There were significant differences between self-evaluation on own grade, ability to use IT devices, format of online classes, and satisfaction about online classes. Through this study, it would be possible to suggest a plan to increase satisfaction of online class and basic data to establish university policy for online classes after COVID-19.

Design and Implementation of YouTube-based Educational Video Recommendation System

  • Kim, Young Kook;Kim, Myung Ho
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.5
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    • pp.37-45
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    • 2022
  • As of 2020, about 500 hours of videos are uploaded to YouTube, a representative online video platform, per minute. As the number of users acquiring information through various uploaded videos is increasing, online video platforms are making efforts to provide better recommendation services. The currently used recommendation service recommends videos to users based on the user's viewing history, which is not a good way to recommend videos that deal with specific purposes and interests, such as educational videos. The recent recommendation system utilizes not only the user's viewing history but also the content features of the item. In this paper, we extract the content features of educational video for educational video recommendation based on YouTube, design a recommendation system using it, and implement it as a web application. By examining the satisfaction of users, recommendataion performance and convenience performance are shown as 85.36% and 87.80%.

How to Search and Evaluate Video Content for Online Learning (온라인 학습을 위한 동영상 콘텐츠 검색 및 평가방법)

  • Yong, Sung-Jung;Moon, Il-Young
    • Journal of Advanced Navigation Technology
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    • v.24 no.3
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    • pp.238-244
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    • 2020
  • The development and distribution rate of smartphones have progressed so rapidly that it is safe for the entire nation to use them in the smart age, and the use of smartphones has become an essential medium for the use of domestic media content, and many people are using various contents regardless of gender, age, or region. Recently, various media outlets have been consuming video content for online learning, indicating that learners utilize video content online for learning. In the previous research, satisfaction studies were conducted according to the type of content, and the improvement plan was necessary because no research was conducted on how to evaluate the learning content itself and provide it to learners. In this paper, we would like to propose a system through evaluation and review of learning content itself as a way to improve the way of providing video content for learning and quality learning content.

Development of Online Video Mash-up System based on Automatic Scene Elements Composition using Storyboard (스토리보드에 따라 장면요소를 자동 조합하는 주제모델링 기반 온라인 비디오 매쉬업 시스템 개발)

  • Park, Jongbin;Kim, Kyung-Won;Jung, Jong-Jin;Lim, Tae-Beom
    • Journal of Broadcast Engineering
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    • v.21 no.4
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    • pp.525-537
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    • 2016
  • In this paper, we develop an online video mash-up system which use automatic scene elements composition scheme using a storyboard. There are two conventional online video production schemes. Video collage method is simple and easy, but it was difficult to reflect narrative or story. Another way is a template based method which usually select a template and it replaces resources such as photos or videos in the template. However, if the related templates do not exist, there are limitations that cannot create the desired output. In addition, the quality and atmosphere of the output is too dependent on the template. To solve these problems, we propose a video mash-up scheme using storyboard and we also implement a classification and recommendation scheme based on topic modeling.