• Title/Summary/Keyword: Game broadcasting

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Profile-based Service Continuity Framework for N-Screen Service

  • Chung, Young-Sik;Paik, Eui-Hyun;Rhee, Woo-Seop
    • International Journal of Contents
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    • v.8 no.1
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    • pp.47-54
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    • 2012
  • The dynamic adaptation between various service environments using the application profiles for the service continuity is a key issue of the profile-based service continuity framework (PSCF) for N-screen service using next generation networks. PSCF offers an optimized service framework for providing continuous user services, which are multimedia video streaming, educational broadcasting, game, etc., using the various devices that are not restricted by the service environment of the user. This paper specifies the functional model of PSCF, service scenario and explains the experimental results of the service continuity for N-screen service using PSCF.

An Automatic Indexing and Analysis Technique for Soccer Game Video for Broadcasting (방송용 축구 경기 비디오의 자동 색인 및 분석 기술)

  • 최송하;이성환
    • Proceedings of the Korean Information Science Society Conference
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    • 1998.10c
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    • pp.550-552
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    • 1998
  • 스포츠 비디오는 역동적인 특성과 비정형적인 구조를 가지고 있으므로 뉴스와 같은 정형적인 비디오와는 달리 분석이 쉽지 않다. 본 논문에서는 이러한 어려움을 극복하기 위하여 축구 경기에서 하이라이트를 추출하여 색인하고 이에 대하여 선수 위치 추적, 파노라마 영상 구성, 경기장 모델 상에서의 선수 이동 궤적 도시 등을 수행하는 방법을 제안한다. 이를 위하여 제한된 색상의 HSV 영상을 구성하여 골대와 선수 위치를 추적하고, 움직임 벡터를 추출하여 카메라 동작을 분석하였으며 경기장 모델 구성을 위해 경기장 내의 특징점을 추출하여 투영 변환을 수행하였다. 실험 결과를 통해서 제안된 방법이 축구 경기 비디오 분석에 효율적으로 이용될 수 있음을 확인할 수 있다.

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An Scene Analysis is for Soccer Game Video using TV Broadcasting Pattern (방송 영상 패턴을 이용한 축구 경기 장면 분석)

  • 최영수;유채곤;이성환;황치정
    • Proceedings of the Korean Information Science Society Conference
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    • 2000.04b
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    • pp.490-492
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    • 2000
  • 본 논문에서는 방송영상 특성을 이용한 축구 경기 장면 분석을 제안한다. 동영상의 프레임들을 분할하기 위해서는 급격한 장면 변화나 화면의 색상과 같은 화면의 형식적인 변화가 주요 결정사항이다. 그러나 축구경기와 같은 동영상에서의 하이라이트는 화면의 형식적인 변화와는 조금 다른 의미를 가진다. 그러므로, 축구 경기 동영상에서 하이라이트 부분을 검출하기 위해서는 장면의 변화와 더불어 화면의 의미를 해석할 필요가 있다. 본 논문에서는 축구 경기 동영상의 모든 프레임을 순차적으로 검사한다. 임의의 프레임에 대하여 RGB 정보의 분석을 통하여 영상의 구성내용을 파악한 후, 구성 내용의 위치와 분포를 참조하여 하이라이트 여부를 판단한다. 제안된 방법에서는 RGB 값의 변화 문제를 해결하기 위하여, 주 RGB 범위 군집화(Dominant RGB Grouping) 방법을 통하여 임의의 영상에서 RGB 값의 변화에 최대한 덜 민감한 방법으로 대상의 RGB 정보를 취득할 수 있는 방법을 사용하였다.

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An Implementation of TV Anytime based Personalized EPG for an Advanced IPTV Application (향상된 IPTV 응용을 위한 TV Anytime 기반 개인형 전자 프로그램 가이드 구현)

  • Pyo, Shin-Jee;Lim, Jeong-Yeon;Kim, Mun-Churl
    • Proceedings of the IEEK Conference
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    • 2006.06a
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    • pp.675-678
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    • 2006
  • IPTV (Internet Protocol Television) is an efficient system which serves various contents to subscribing consumers by using the IP over a broadband connection. The IPTV services can be multi-channel broadcasting service, VoD, T-Commerce, video conference, on-line game and so on. TV Anytime metadata provides various description tools for TV program contents by which TV program contents can serve more information. In this paper, we mention about the overview and feature of IPTV and TV Anytime metadata, propose the essential functions in the EPG program of IPTV and survey the description tools for the proposed functions in EPG. Finally, we show the authored metadata and the implementation of advanced EPG application.

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Atypical Character Recognition Based on Mask R-CNN for Hangul Signboard

  • Lim, Sooyeon
    • International journal of advanced smart convergence
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    • v.8 no.3
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    • pp.131-137
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    • 2019
  • This study proposes a method of learning and recognizing the characteristics that are the classification criteria of Hangul using Mask R-CNN, one of the deep learning techniques, to recognize and classify atypical Hangul characters. The atypical characters on the Hangul signboard have a lot of deformed and colorful shapes beyond the general characters. Therefore, in order to recognize the Hangul signboard character, it is necessary to learn a separate atypical Hangul character rather than the existing formulaic one. We selected the Hangul character '닭' as sample data and constructed 5,383 Hangul image data sets and used them for learning and verifying the deep learning model. The accuracy of the results of analyzing the performance of the learning model using the test set constructed to verify the reliability of the learning model was about 92.65% (the area detection rate). Therefore we confirmed that the proposed method is very useful for Hangul signboard character recognition, and we plan to extend it to various Hangul data.

Simulation of Child Care for First-time Father

  • Jang, Sin-young
    • International journal of advanced smart convergence
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    • v.8 no.2
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    • pp.47-55
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    • 2019
  • In past patriarchal societies, childbearing was considered the sole possession of women. At a time when women were struggling to move into society, the concept of parenting as the mainstay of the capitalist economic society and the head of the family has naturally been taken for granted by a woman named "housewife." Since the role of male babies is as important as that of females, Fathers are trying to promote the importance of the effects of fathers due to active participation in childcare and help change old perceptions of the past. Men also know the importance of participating in childcare in early childhood, but often do not know what their children want or why they cry due to lack of basic child care knowledge and lack of education. We tried to give fathers the meaning of indirect experience and change their perception of parenting by producing interactive VR content, which is completed with dad's participation, so that they can experience the child in person. In addition, through familiar childcare professional product advertisement and 360 degree stereo sound. It is made to immerse in the game to gain persuasive effect, inducing fathers to have interest and interest in childrearing.

Implementation of Interactive Self-portrait using Real-time News Stream

  • Lim, Sooyeon
    • International journal of advanced smart convergence
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    • v.7 no.4
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    • pp.147-153
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    • 2018
  • This study is about the interactive self-portrait which provides the experience of self-consciousness reflection of the viewer to modern people who are easily alienated in rapid social change. We proposed interactive self-portrait is implemented by an interactive mirror that reproduces the appearance of the viewer acquired using a webcam. The interactive mirror, which can directly project its own image, is drawn by searching news articles in real time and using the extracted characters as pixel information in real time. The viewer has the opportunity to experience a new style of active self-expression while watching his/herself composed of news characters that are issues of modern society. The virtual self-portrait designed with news characters can attract viewers' attention by visually expressing the interests of modern people and can act as an incentive to generate positive interaction.

Exploratory Study on Professional Baseball Fan Experience Management: Based on In-Depth Interview and Customer Journey Map

  • Kim, Se-yun;Byun, Kyung-Won
    • International journal of advanced smart convergence
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    • v.10 no.1
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    • pp.176-183
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    • 2021
  • The purpose of this study is was to analyze customer experience attribute of professional baseball. To achieve objectives of this study, a method was used the in-depth interview and experts' consultation which understanding the attributes and structure of customer experience attribute of professional baseball. As a result, the professional baseball customer experience attributes are 'viewing plan & purchase', 'stadium movement', 'entrance stadium', 'move to seat', 'game viewing', 'amenities/services', 'events/cheering', 'move after match'. The review of the experience section and attributes derived through in-depth interviews with professional baseball fans was verified through an expert' consultation to secure content validity. Through this process, 8 experience section and 41 attributes were analyzed. The customer experience journey was analyzed for a more in-depth analysis of the viewing experience of professional baseball fans. The customer experience journey was presented based on the needs of fans and discomfort in each experience section activity.

Research on AI Painting Generation Technology Based on the [Stable Diffusion]

  • Chenghao Wang;Jeanhun Chung
    • International journal of advanced smart convergence
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    • v.12 no.2
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    • pp.90-95
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    • 2023
  • With the rapid development of deep learning and artificial intelligence, generative models have achieved remarkable success in the field of image generation. By combining the stable diffusion method with Web UI technology, a novel solution is provided for the application of AI painting generation. The application prospects of this technology are very broad and can be applied to multiple fields, such as digital art, concept design, game development, and more. Furthermore, the platform based on Web UI facilitates user operations, making the technology more easily applicable to practical scenarios. This paper introduces the basic principles of Stable Diffusion Web UI technology. This technique utilizes the stability of diffusion processes to improve the output quality of generative models. By gradually introducing noise during the generation process, the model can generate smoother and more coherent images. Additionally, the analysis of different model types and applications within Stable Diffusion Web UI provides creators with a more comprehensive understanding, offering valuable insights for fields such as artistic creation and design.

A Study on Switching Intention of Broadcasting Service to MCN Service by Migration Theory (새로운 방송 서비스로의 이전 : 이주 이론을 통한 MCN으로 전환의도 연구)

  • Kim, Yonghee
    • The Journal of Industrial Distribution & Business
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    • v.10 no.1
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    • pp.59-67
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    • 2019
  • Purpose - The Millennial Generation, which grew in the wake of the spread of the Internet and rapid changes in the media environment, is rapidly moving from the traditional broadcasting environment to the Internet-broadcasting environment in terms of content acceptance. With the emergence of UGC (User-generated content), the change in the status of single-person content creators enables the growth of multi-channel networks (MCN), a new content-distribution platform and an agency concept for single creators. Youtube-based MCN produces multiple single star producers and casts and provides its own video series through Youtube. It is also emerging as a major M&A target for global media providers in terms of providing content to a wide range of consumers with the same interests and consumption characteristics. In addition, for the Millennials generation, which are part of their lives, MCN is becoming the most suitable media for TGIF (Twitter, Google, i-phone, Facebook). Accordingly, this study defines newly emerging MCNs and analyzes the factors for accepting MCN-produced content based on the push-pull-mooring (PPM) model. Research design, data, and methodology - An empirical analysis is performed through a questionnaire survey. For this purpose, 204 people who have experience of watching MCN were studied. Collected data is processed through analysis of a structural equation model using R to test the hypothesis. Results - For the MCN service to become an alternative to existing media, it is necessary to continuously promote cultural diversity and diversity of attempts that conventional media cannot provide. It is the attractiveness of the alternative that has the greatest influence on the intention to switch to a MCN service. When we look at MCN content so far, certain patterns such as game progress, introduction, food, and chat rooms have already appeared. We need to overcome this and develop a completely new conceptual content that we have never seen before. This requires a more generous viewer perception of the topics covered. For diversity, linguistic and verbal violence should be tolerant in common sense to provide a foundation for securing cultural diversity. Conclusions - In this study, we tried to develop a comprehensive approach to the substitution effect of MCN. In terms of academic achievement, the PPM model is used to enhance the utilization of media and broadcasting. Practical implications are to provide an analytical framework for verifying alternative or complementary effects when viewers switch to MCN.