• Title/Summary/Keyword: Video-based community

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Analysis on How Online Community Affects Game Play of Video Games - Focused on Game 'Animal Crossing: Wild World' - (온라인 커뮤니티가 비디오 게임 플레이에 미치는 영향에 관한 분석 - 게임 '동물의 숲'을 중심으로 -)

  • Jung, He-Ssng
    • The Journal of the Korea Contents Association
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    • v.8 no.6
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    • pp.89-97
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    • 2008
  • Unlike Online Games, Video Games do not require Internet connection. Video Game players have their own game device to play games offline. Yet there are popular online communities based on Video Games that has lots of active, loyal members. The presence of Video Game online community indicates that online community plays an important role in "Game Play" of Video Games. In this research, in order to analyze the impact of online community, Game Play Heuristics were studied. Also, the use and the purpose of Video Game online communities was investigated. Finally, examples of the impact of online community on "Game Play"of Video Games is presented.

Designing Video-based Teacher Professional Development: Teachers' Meaning Making with a Video Annotation Tool

  • SO, Hyo-Jeong;LIM, Weiying;XIONG, Yao
    • Educational Technology International
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    • v.17 no.1
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    • pp.87-116
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    • 2016
  • In this research, we designed a teacher professional development (PD) program where a small group of mathematics teachers could share, reflect on, and discuss their pedagogical knowledge and practices of ICT-integrated lessons, using a video annotation tool called DIVER. The main purposes of this paper are both micro and macro: to examine how the teachers were engaged in the meaning-making process in a video-based PD (micro); and to derive implications about how to design effective video-based teacher PD programs toward a teacher community of practices (macro). To examine teachers' meaning-making in the PD sessions, discourse data from a series of 10 meetings was segmented into idea units and coded to identify discourse patterns, focusing on (a) participation levels, (b) conversation topics, and (c) conversation depth. Regarding the affordance of DIVER, discourse patterns of two meetings, before and after individual annotation with DIVER were compared through qualitative vignette analysis. Overall, we found that the teacher discourse shifted the focus from surface features to deeper pedagogical issues as the PD sessions progressed. In particular, the annotation function in DIVER afforded the teachers to exercise descriptive analyses of video clips in a flexible manner, thereby helping them cognitively prepared to take interpretative and evaluative stances in face-to-face discussions with colleagues. In conclusion, deriving from our research experiences, we discuss the possibilities and challenges of designing video-based teacher PD in a school context.

Impact of Immediacy and Self-Monitoring on Positive Emotion and Sense of Community of User: Focusing on Social Interactive Video Platform (근접성과 자기 점검이 사용자의 긍정적 감정과 소속감에 미치는 영향: 소셜 인터랙티브 비디오 플랫폼을 중심으로)

  • Kim, Hyun Young;Kim, Bomyeong;Kim, Jinwook;Shin, Hyunsik;Kim, Jinwoo
    • Science of Emotion and Sensibility
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    • v.19 no.2
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    • pp.3-18
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    • 2016
  • This research, through video-based communication in a social video platform environment, studied the influence of the relationship between a video-watching subject and other watchers to that of the user's positive emotion and sense of community. Based on prior psychological theories called Social Impact Theory and Self-Monitoring Theory, the research built an actual video-based social video platform environment in order to verify an alternative utilizing new means of interaction based on videos. The result shows that under video-watching settings, user feels greater positive emotion and sense of community when the screen shows other people's reaction live and when him or her self's face is shown together, compared to when they are not shown. Also, based on the ANOVA analysis, the percentage of increase in positive emotion was greater when the two conditions mentioned above were provided synchronously compared to when they were not. The result of the research is expected to yield insights about a new form of social video platform.

Effects of Video Observation Training on Neglect and Ability to Perform Activities of Daily Living of Stroke Patients (동영상 관찰훈련이 뇌졸중 환자의 편측무시와 일상생활활동 수행능력에 미치는 영향)

  • Kim, Tae-Sue;Kwon, Hyuk-Cheol;Cho, Young-Seok
    • The Journal of Korean society of community based occupational therapy
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    • v.4 no.2
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    • pp.53-61
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    • 2014
  • Objective : The purpose of this study was to examine the effects of video observation training on neglect and ability to perform activities of daily living of stroke patients. Methods : Patients diagnosed with stroke were selected as subjects according to criteria to select the research targets. The additional video observation training besides OT and PT was carried out to 15 patients in an experimental group and sham therapy besides OT and PT was performed to 15 patients in a control group. Line-bisection test were conducted to compare the neglect before and after therapy intervention and FIM was conducted to compare the ability to perform the activities of daily living. Results : The result of this study that we found out that degree of neglect in an experimental group where video observation training was carried out improved neglect and the ability to perform activities of daily living. Conclusion : The video observation training the video observation training is expected to be useful in clinics.

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Channel Zapping Time Improvement and Video Community Service using IP Multicasting (IP multicasting 을 활용한 영상커뮤니티 서비스 및 채널전환시간 감축방법)

  • Jong, Sang-Gug;Lee, Seung-Tak;Jeong, Ki-Tae;Kim, Chung-Il;Oh, Kil-Nam
    • 한국정보통신설비학회:학술대회논문집
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    • 2007.08a
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    • pp.89-91
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    • 2007
  • Multimedia service based on interactivity, personalization, multiple channels and community distinguishes IPTV from incumbent TV. But data encoding/decoding time and image frame processing should be considered in digital TV versus analog device. Especially channel zapping time is one of the most important parameters for the service quality of IPTV. This paper proposes the mechanism for decreasing the channel zapping time with multiple decoder and image frame processing. We also implemented the multi-group video community service system using IP multicasting function supporting interactive learning service.

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Anomalous Event Detection in Traffic Video Based on Sequential Temporal Patterns of Spatial Interval Events

  • Ashok Kumar, P.M.;Vaidehi, V.
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.9 no.1
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    • pp.169-189
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    • 2015
  • Detection of anomalous events from video streams is a challenging problem in many video surveillance applications. One such application that has received significant attention from the computer vision community is traffic video surveillance. In this paper, a Lossy Count based Sequential Temporal Pattern mining approach (LC-STP) is proposed for detecting spatio-temporal abnormal events (such as a traffic violation at junction) from sequences of video streams. The proposed approach relies mainly on spatial abstractions of each object, mining frequent temporal patterns in a sequence of video frames to form a regular temporal pattern. In order to detect each object in every frame, the input video is first pre-processed by applying Gaussian Mixture Models. After the detection of foreground objects, the tracking is carried out using block motion estimation by the three-step search method. The primitive events of the object are represented by assigning spatial and temporal symbols corresponding to their location and time information. These primitive events are analyzed to form a temporal pattern in a sequence of video frames, representing temporal relation between various object's primitive events. This is repeated for each window of sequences, and the support for temporal sequence is obtained based on LC-STP to discover regular patterns of normal events. Events deviating from these patterns are identified as anomalies. Unlike the traditional frequent item set mining methods, the proposed method generates maximal frequent patterns without candidate generation. Furthermore, experimental results show that the proposed method performs well and can detect video anomalies in real traffic video data.

Role Grades Classification and Community Clustering at Character-net (Character-net에서 배역비중의 분류와 커뮤니티 클러스터링)

  • Park, Seung-Bo;Jo, Geun-Sik
    • Journal of the Korea Society of Computer and Information
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    • v.14 no.11
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    • pp.169-178
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    • 2009
  • There are various approaches that retrieve information from video. However, previous approaches have considered just object information and relationship between objects without story information to retrieve contents. To retrieve exact information at video, we need analyzing approach based on characters and community since these are body of story proceeding. Therefore, this paper describes video information retrieval methodology based on character information. Characters progress story to form relationship through conversations. We can analyze the relationship between characters in a story with the methods that classifies role grades and clusters communities of characters. In this paper, for these, we propose the Character-net and describe how to classify role grades and cluster communities at Character-net. And we show this method to be efficient.

Design of an Adaptive Video-based Community in Ubiquitous Environment (유비쿼터스 환경에서 적응력있는 화상 커뮤니티의 설계)

  • Sung, Young-Hoon;Ha, Seok-Wun;Lee, Jae-Inn
    • Journal of The Korean Association of Information Education
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    • v.11 no.2
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    • pp.243-249
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    • 2007
  • Most homepages of schools are available to publicize activities of education, to load educational materials efficiently. But we can't use current homepages of schools in making characteristic information or sharing educational resources. In this study, this I-CUBE system with RSS was designed and embodied for sharing characteristic educational activities and works in schools. Currently, I-CUBE is being under experimental test for sharing education activities and making community in elementry schools,.

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Anatomizing Popular YouTube Channels of English-speaking Countries

  • Han, Sukhee
    • International Journal of Internet, Broadcasting and Communication
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    • v.12 no.4
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    • pp.42-47
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    • 2020
  • YouTube, the online video streaming platform, has become popular and influential around the globe. Due to the development of science and technology, people without expertise in filming can now easily produce their videos with unique content. Many people are more eager to become a popular YouTube creator because they can earn money by placing commercials or Products in Placement (PPL) in their video clips. However, it is yet unknown what genres of YouTube videos are popular. YouTube creators have their channels where they upload videos of a certain type of genre. This study investigates video genres of the top 250 YouTube channels in English-speaking countries (United States, Canada, United Kingdom, and Australia) using Social Blade, which is a research website. The ranking is set based on the number of times people watched a video ("Video Views"). We handsomely analyze popular genres of the channels and also the YouTube ecosystem, and it will be meaningful for today's new media era.

The Effect of Appearance of 'the other' and 'I' to Positive Attitude and Sense of Community on Social Video Platform - Based on Social Impact Theory and Self-Monitoring Theory (소셜 비디오 플랫폼 상에서 '나'의 개성과 '다른 사람'의 개성이 사용자의 긍정성과 소속감에 미치는 영향 - 사회적 영향이론과 자기 점검 이론 관점)

  • Kim, Bomyeong;Kim, HyunYoung;Kim, Jinwook;Shin, Hyunsik;Kim, Jinwoo
    • The Journal of the Korea Contents Association
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    • v.16 no.2
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    • pp.480-493
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    • 2016
  • Recently, the method of social interaction is transforming into a method that utilizes videos. We are suggesting a new social video platform that contains a video of 'I' and 'the other'. We studied how the appearance of 'the other' and 'I' affected the user. So we applied the Social Impact Theory and Self-Monitoring Theory. The platforms were then used to investigate how the user's positive attitude and sense of community were affected by having the user view his/her and 'the other's appearance watching the same video. As the result, users felt more positive attitude when their own appearance was shown on the screen. However, the positive attitude decreased when there were more femininity in the surrounding videos along with their own appearance. Also, when there were more masculinity in the surrounding video, the users felt a stronger sense of community. We believe this research will provide implications for developing the structure and organization of a new social video platform.