• Journal of Information Technology Services
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• v.14 no.1
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• pp.99-113
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• 2015

Adaptive bitrate (ABR) streaming technology has become an important and prevalent feature in many multimedia delivery systems, with content providers such as Netflix and Amazon using ABR streaming to increase bandwidth efficiency and provide the maximum user experience when channel conditions are not ideal. Where such systems could see improvement is in the delivery of live video with a closed loop cognitive control of video encoding. In this paper, we present streaming camera system which provides spatially and temporally adaptive video streams, learning the user's preferences in order to make intelligent scaling decisions. The system employs a hardware based H.264/AVC encoder for video compression. The encoding parameters can be configured by the user or by the cognitive system on behalf of the user when the bandwidth changes. A cognitive video client developed in this study learns the user's preferences (i.e. video size over frame rate) over time and intelligently adapts encoding parameters when the channel conditions change. It has been demonstrated that the cognitive decision system developed has the ability to control video bandwidth by altering the spatial and temporal resolution, as well as the ability to make scaling decisions

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.2
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• pp.579-603
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• 2018

In this paper we propose a QoS-enhanced intelligent stochastic optimal fair real-time packet scheduler, QUEST, for 4G LTE traffic in routers. The objective of this research is to maximize the system QoS subject to the constraint that the processor utilization is kept nearly at 100 percent. The QUEST has following unique advantages. First, it solves the challenging problem of starvation for low priority process - buffered streaming video and TCP based; second, it solves the major bottleneck of the scheduler Earliest Deadline First's failure at heavy loads. Finally, QUEST offers the benefit of arbitrarily pre-programming the process utilization ratio.Three classes of multimedia 4G LTE QCI traffic, conversational voice, live streaming video, buffered streaming video and TCP based applications have been considered. We analyse two most important QoS metrics, packet loss rate (PLR) and mean waiting time. All claims are supported by discrete event and Monte Carlo simulations. The simulation results show that the QUEST scheduler outperforms current state-of-the-art benchmark schedulers. The proposed scheduler offers 37 percent improvement in PLR and 23 percent improvement in mean waiting time over the best competing current scheduler Accuracy-aware EDF.

• Journal of Information Technology Services
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• v.23 no.3
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• pp.1-16
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• 2024

As the COVID-19 pandemic confirmed the culture of non-face-to-face consumption. In retail commerce, the 'live commerce' market, where sales are made by communicating with customers in the form of live streaming broadcasts, has grown rapidly. Although previous studies have consistently confirmed the phenomenon of "influencers" in society and culture, there is a lack of research on the "sales expertise" of live commerce broadcasters such as Wang Hong in China. In China, "Wang Hong" is short for "Wang Luo Hong Ren", a combination of "Wang Luo", which means the Internet, and "Hong Ren", which means star, and refers to a person who is popular through social platforms and is gaining popularity from many fans. Therefore, this study focuses on Wang Hong's developing "selling expertise" and examines it from the perspective of a shopping curator. In particular, we applied Harold Jarche(2011)'s "Seek-Sense-Share" model to influencers to verify their influence on trust and purchase intention in live commerce. Furthermore, we analyzed the differences between Korea and China.A survey was conducted among live commerce users in Korea and China, and a total of 228 questionnaires were used in the final analysis. Basic statistical analysis was conducted using SPSS and hypotheses were tested using PLS 3.0. The results of the hypothesis testing showed that influencers' curatorial competence "Seek-Sense-Share" had a significant effect on trust, and trust had a positive effect on purchase intention. In addition, there is a significant difference between Korean and Chinese consumers in this relationship.

• 제어로봇시스템학회:학술대회논문집
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• 2001.10a
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• pp.70.4-70
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• 2001

Advances of the computer system and the high-speed network have made it possible to popularize the multimedia services among various applications in the internet. In addition, the number of the users and the kinds of multimedia services have been increasing day by day. Thus, this paper presents an internet live-broadcasting server system to accelerate these trends. The developed system facilitates creating or joining the broadcasting with just such basic components as PC camera and sound card. Also, it guarantees the scalability that the channels could be dynamically expanded as the population of users rapidly increases. The clustered streaming servers are generically managed by the CSM ...

• Proceedings of the Korea Contents Association Conference
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• 2016.05a
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• pp.103-104
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• 2016

본 연구는 실시간 개인 방송에서 이뤄지는 담화의 상황을 통접, 이접, 연접이라는 질 들뢰즈의 개념으로 분석하고, 실시간 개인 방송에서 나타나는 시청자의 개입 행위와 그로 인해 끊임없이 변화를 거듭하는 방송의 진행 양상을 '특이점(point singulier)'과 '사건(${\acute{e}}v{\acute{e}}nement$)' 개념을 통해 분석했다. 구체적인 연구 대상으로는 아프리카TV의 <대도서관TV> 채널의 '24시간 연속 생방송'편을 선정했다. 본 연구는 국 내외적으로 산업적 규모가 확장되고 있으며, '방송의 개인화'를 불러오고 있는 MCN 방송 콘텐츠 중 실시간 개인 방송의 진행 원리와 그 미학적 함의를 도출했다는 점에서 의의를 지닌다.

• Proceedings of the Korean Information Science Society Conference
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• 2004.10c
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• pp.85-87
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• 2004

본 논문에서는 라이브 비디오 스트리밍을 지원하는 SIP 기반 단말기의 소프트웨어 구조와 설계에 대해 기술하였다. SiP 기반 단말기의 소프트웨어 시스템 구조를 분석하여 SIP 세션 설정 과정과 비디오 스트리밍 알고리즘을 설명하였으며 향후 연구로 임베디드 환경으로 포팅하기 위해 설계의 정확성을 검증하고 성능 평가를 위한 사전 실험을 수행하였다.

• Journal of the Korea Society of Computer and Information
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• v.15 no.3
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• pp.81-89
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• 2010

The research on peer-to-peer streaming schemes has largely focused on tree-push and mesh-pull structures. However, the tree-push structure has a defect that the tree restructuring time is long, and the mesh-pull structure has long startup delay and lag time from source servers. In this paper, we propose a new peer-to-peer live streaming scheme based on a push-mesh structure that takes advantages of tree-push and mesh-pull structure simultaneously. This structure basically provides the mesh-pull mechanism for data transmission and utilizes peers with high network upload capacity. It also supports the push mechanism along with paths from a source server, super peers, and selected general peers. By NS-2 simulation experiments, we finally show that our proposed scheme can achieve shorter startup delay than the mesh-pull structure, similar lag time to tree-push structure and best playback continuity among the three schemes.

• The Research Journal of the Costume Culture
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• v.29 no.4
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• pp.554-571
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• 2021

The purpose of this study is to investigate the mediating effect of trust when a media broadcaster (such as a disc jockey [DJ]) acting as an information source and the content they provide during live commerce streaming affect acceptance intention. Live commerce is increasing rapidly, offering a new fashion distribution channel by supplementing possible shortcomings of existing online shopping. Data was collected for the empirical study from female consumers in their 20s who actively accepted fashion technology. Statistical analysis of the data was conducted using IBM SPSS Macro Process 3.5. First, the reliability and validity of the variables for information source characteristics, content informativeness, trust, and acceptance intention were verified, and each variable was confirmed as a single factor. Bootstrap analysis was performed using Macro Process Model 4 to reveal the effects of information source characteristics and content informativeness on acceptance intention. As a result of analyzing the mediating effect for each path model with trust as a parameter, it was found that both the direct and indirect effects of the mediating path were significant. This result means that the characteristics of information sources and content informativeness are partially mediated by trust. Therefore, to promote consumer behavior in a live commerce shopping environment, it is necessary to enhance trust. This can be achieved by a media broadcaster with fashion expertise to increase the perception of the attractiveness of the information source and to improve the usefulness of the fashion information being delivered.

• Journal of Digital Contents Society
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• v.19 no.4
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• pp.649-659
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• 2018

We studied on factors influencing product purchase intention in Taobao live streaming shopping by adopting the Elaboration Likelihood Model (ELM). We used the survey method to collect the data and examine the hypotheses. The results are as follows. Source attractiveness has stronger effect on attitude toward product in the condition of hedonic product than in the condition of utilitarian product. Argument Quality has stronger effect on attitude toward product in the condition of utilitarian product than in the condition of hedonic product. In additional analysis, in the condition of the hedonic product, both of the source attractiveness and the argument quality have a positive effect on the attitude toward product. While argument quality has a positive effect on attitude toward product, but the attractiveness has no significant effect on the attitude toward product in the condition of utilitarian product. Finally, attitude toward product has a positive effect on product purchase intention.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.7
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• pp.1743-1749
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• 2015

As smartphones are rapidly supplied, users can easily access video contents anywhere, anytime. So recently, demands for the ability to create one's own mash-up video have been increasing and various video mash-up programs appear to reflect those needs. But, because most existing video mash-up programs can mash up only stored video files, the ability to mash up many videos is limited for smartphones that have restricted memory. In this paper, we have developed a video mash-up application that can easily mash up not only stored videos, but also videos found by chance over the network to make one's own videos.