• Title/Summary/Keyword: Software Streaming

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Design and Implementation of an Interactive Streaming Platform for Supporting Instant Retrieval of Product Information in Product Placement Advertisement (간접광고에서 제품 정보의 즉각적 검색을 지원하는 인터렉티브 동영상 플랫폼 설계 및 구현)

  • Im, Hyeon-Jin;Cho, Dae-Soo
    • The Journal of the Korea institute of electronic communication sciences
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    • v.15 no.5
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    • pp.931-938
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    • 2020
  • Recently, with the expansion of the use of cross media, the public is not just watching the broadcast, but is also consuming various information about actor, stories, products, etc. that appears during the broadcast. However, the devices used for viewing and the devices used for searching are different, which is inconveniences, and due to the differences between the point in time when the desired information is provided through the search, the public has difficulty in obtaining detailed information of the target product after encountering product placement advertisement. In addition, it is difficult for advertisers to confirm the effect of product placement advertising through the reaction of viewers who have encountered product placement advertising. In this paper, we intend to propose an interactive streaming platform that supports the instant retrieval of product information to users by including product placement advertisement information in broadcasting. Through this, viewers can quickly receive detailed information of products on the screen by giving an event when a product of interest comes out while watching the broadcast, and advertisers can check the effectiveness of product placement advertisements by receiving interactive responses from viewers.

A Streaming System based on Transcoding using the Prediction Period (예측주기를 이용한 트랜스코딩 기반의 스트리밍 시스템)

  • Kim, Sung-Min;Kim, Hyun-Hee;Park, Si-Yong;Chung, Ki-Dong
    • Journal of KIISE:Software and Applications
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    • v.33 no.10
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    • pp.823-835
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    • 2006
  • Multimedia is a very popular service in the Internet. But, we cannot provide multimedia service at a uniform content, because networks and devices are various. Thus, an adaptive service is needed for multimedia transmission. Video Transcoding is the good solution that can service multimedia adaptively. This paper proposes the streaming system that is composed of encoder, transcoder, decoder The encoder enhanced time complexity and PSNR in case of transcoding using PP(Prediction Period). The decoder is almost same as the traditional media player. Transcoder reduced time complexity through combination of prediction period in encoder and skipping period to control frame rate in transcoder. In simulation results, the performances of proposed scheme outperform the system with traditional transcoder in time complexity and PSNR.

Design of Hybrid Communication Structure for Video Transmission in Drone Systems (드론 영상 전송용 하이브리드 통신 구조의 설계)

  • Kim, Won
    • Journal of the Korea Convergence Society
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    • v.10 no.11
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    • pp.9-14
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    • 2019
  • In modern society drones are actively utilized in the fields of security, defense, agriculture, communication and so on. Smart technology and artificial intelligence software have been developed with convergence, and the field of use is expected to expand further. On the point of the excellent performance of drones one of the essential technologies is the wireless communication that make the ground facility receive the video streaming obtained by the drones in the air. In the research the concept of communication region is proposed to cover the both the low altitude region for Wi-Fi communication and the high altitude region for LTE communication for the sake of video transmission. Also the hybrid communication structure is designed along the proposed concept and the proposed system is implemented as a communication system in the small size which can be mounted in a small size of drone. It is confirmed that the proposed system contains the effectiveness by showing the ability to successfully transmit HD video streaming in the range of 500 meters and the transfer time between two different communication systems is measured in 200msec by the experiments.

A Study on the Traffic Agent System Using Unicast Method and P2P (유니캐스트 방식과 P2P를 응용한 트래픽 에이전트 시스템에 관한 연구)

  • Kim Hyun-Ki;Kim Song-Young;Cho Dae-Jea
    • Journal of Korea Multimedia Society
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    • v.8 no.5
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    • pp.707-741
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    • 2005
  • In the multimedia streaming technology, the unicast method require additional cost by an increase traffic according to increase a number of users. The multicast method can solve this problem, but it don't have connection and control information of clients. Now, the most routers support only unicast. Also it has a problem with an exchange of service in other ISP. This paper proposes traffic agent system which is applied unicast and P2P(Peer to Peer) for distance video teaming to overcome this problem. The proposed system decrease the traffic of stream server by control agent, and cut down expenses of network. This system is tested under the distance video leaning using JMF and application software.

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Real-Time Stock Price Prediction using Apache Spark (Apache Spark를 활용한 실시간 주가 예측)

  • Dong-Jin Shin;Seung-Yeon Hwang;Jeong-Joon Kim
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.23 no.4
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    • pp.79-84
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    • 2023
  • Apache Spark, which provides the fastest processing speed among recent distributed and parallel processing technologies, provides real-time functions and machine learning functions. Although official documentation guides for these functions are provided, a method for fusion of functions to predict a specific value in real time is not provided. Therefore, in this paper, we conducted a study to predict the value of data in real time by fusion of these functions. The overall configuration is collected by downloading stock price data provided by the Python programming language. And it creates a model of regression analysis through the machine learning function, and predicts the adjusted closing price among the stock price data in real time by fusing the real-time streaming function with the machine learning function.

3D Motion Capture based Physical Fitness using Full Body Tracking Suit

  • Imran Ghani;Emily Hattman;David T. Smith;Muhammad Hasnain;Israr Ghani;Seung Ryul Jeong
    • Journal of Internet Computing and Services
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    • v.24 no.4
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    • pp.47-56
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    • 2023
  • This paper presents an approach to exercise that utilizes motion capture through the Rokoko Smart Suit. With the emergence of Covid-19, physical fitness levels have declined due to restrictions on in-person fitness classes and gym closures. To maintain physical activity, many individuals have turned to mobile applications and streaming videos. However, home workouts often lack the motivation and experience found in gyms, classes, or community centers, particularly with the presence of coaches and instructors. Additionally, instructors find it challenging to convey precise postures to their online students, and vice versa. To address this issue, the researchers propose the use of a full-body tracking suit like the Rokoko Smart Suit, which enables instructors to present a more realistic approach to physical activity. The Rokoko Smart Suit offers a 3D view of the instructor, eliminating the limitations of camera scope when streaming on platforms like Zoom or MS Teams. This technology enhances the at-home workout experience, and the incorporation of 3D virtual reality features can further elevate the realism of a workout.

An Optimal Adaptation Framework for Transmission of Multiple Visual Objects (다중 시각 객체 전송을 위한 최적화 적응 프래임워크)

  • Lim, Jeong-Yeon;Kim, Mun-Churl
    • Journal of KIISE:Software and Applications
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    • v.35 no.4
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    • pp.207-218
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    • 2008
  • With the growth of the Internet, multimedia streaming becomes an important means to deliver video contents over the Internet and the amount of the streaming multimedia contents is also getting increased. However, it becomes difficult to guarantee the quality of service in real-time over the IP network environment with instantaneously varying bandwidth. In this paper, we propose an optimal adaptation framework for streaming contents over the Internet in the sense that the perceptual quality of the multi-angie content with multiple visual objects is maximized given the constraints such as available bandwidth and transcoding cost. In the multi-angle video service framework, the user can select his/her preferred alternate views among the given multiple video streams captured at different view angles for a same event. This enhanced experience often entails streaming problems in real-time over the network, such as instantaneous bandwidth changes in the Internet. In order to cope with this problem, we assume that multi-angle video contents are encoded at different bitrates and the appropriate video streams are then selected or transcoded for delivery to meet such bandwidth constraints. For the user selective consumption of the various bitstreams in the multi-angle video service, the bitstream in each angle can be encoded in various bitrate, and the user can select a sub-bitrstream in the given bitrstreams or transcode the corresponding content in order to deliver the optimally adapted video contents to the instantaneously changing network condition. Therefore, we define the transcoding cost which means the time taken for transcoding the video stream and formulate a unified optimization framework which maximizes the perceptual quality of the multiple video objects in the given constraints such as the transcoding cost and the network bandwidth. Finally, we present plenty of the experimental results to show the effectiveness of the proposed method.

Adaptive Strip Compression for Panorama Video Streaming (파노라마 동영상 스트리밍을 위한 적응적 스트립 압축 기법)

  • Kim Bo Youn;Jang Kyung Ho;Koo Sang Ok;Jung Soon Ki
    • Journal of KIISE:Computer Systems and Theory
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    • v.33 no.1_2
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    • pp.137-146
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    • 2006
  • Traditional live video streaming systems support the limited field of view (FOV) of image to the remote users. A server system based on the pan/tilt camera provides a user with wide view by changing the view direction of the camera mechanically. But, when many clients try to access to the server, this system can not offer their own view to every user simultaneously, and moreover it has the delay by camera motion. In order to offer wide views to several users, we propose new streaming system using the panorama image that has wide view. Our system is a kind of implementation of software pan/tilt camera. The server acquires panorama video and sends a part of the video to clients. Then, each client can control their own view. We need the effective way to reduce the average transmission data size and server burden to the compression because generally the full size of panorama video is too big to be served by the real-time streaming. To solve this problem, we propose an strip-based video compression and adaptive transmission of the compressed multiple strip videos. Experimental results show that our system can be adapted quickly to the change of view and the number of clients. Furthermore, proposed method effectively reduce the transmission data.

High Quality Video Streaming System in Ultra-Low Latency over 5G-MEC (5G-MEC 기반 초저지연 고화질 영상 전송 시스템)

  • Kim, Jeongseok;Lee, Jaeho
    • KIPS Transactions on Computer and Communication Systems
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    • v.10 no.2
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    • pp.29-38
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    • 2021
  • The Internet including mobile networks is developing to overcoming the limitation of physical distance and providing or acquiring information from remote locations. However, the systems that use video as primary information require higher bandwidth for recognizing the situation in remote places more accurately through high-quality video as well as lower latency for faster interaction between devices and users. The emergence of the 5th generation mobile network provides features such as high bandwidth and precise location recognition that were not experienced in previous-generation technologies. In addition, the Mobile Edge Computing that minimizes network latency in the mobile network requires a change in the traditional system architecture that was composed of the existing smart device and high availability server system. However, even with 5G and MEC, since there is a limit to overcome the mobile network state fluctuations only by enhancing the network infrastructure, this study proposes a high-definition video streaming system in ultra-low latency based on the SRT protocol that provides Forward Error Correction and Fast Retransmission. The proposed system shows how to deploy software components that are developed in consideration of the nature of 5G and MEC to achieve sub-1 second latency for 4K real-time video streaming. In the last of this paper, we analyze the most significant factor in the entire video transmission process to achieve the lowest possible latency.

Development of e-Learning System Based on Open Source Software (공개 소프트웨어 기반 e-Learning 시스템 개발)

  • Lee Se-Hoon;Baek Yeong-Tae
    • The Journal of the Korea Contents Association
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    • v.5 no.1
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    • pp.9-17
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    • 2005
  • In this paper we developed e-Leaning system based on open source software. We selected the Moodle that after compared the open source learning management systems. Moodle is LAMP(Linux, Apache, MySQL, PHP) based course management system (CMS), a software package designed to help educators create quality online courses. One of the main advantages of Moodle over other systems is a strong grounding in social constructionist pedagogy. Also we integrated Moodle and legacy systems such as streaming service, webhard service, and short message service. The system operated during one semester at college using blended learning model. We had obtained showed that the students had almost all scored quite highly as preferred learning environment through COLLES(Constructivist On-Line Learning Environment Survey) and ATTLS(Attitudes to Thinking and Learning Survey). Therefore this research showed that open source based e-Loaming system is stable and possible.

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