• Title/Summary/Keyword: 스트리밍 미디어

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Fast Handoff Technique using Improved Cashing Agent and CoA Pool in Mobile IP (모바일 아이피에서 개선된 캐싱 에이전트와 CoA 풀을 사용한 빠른 핸드오프 기법)

  • Lee, Jang-Su;Kim, Sung-Chun
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.45 no.2
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    • pp.75-82
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    • 2008
  • Mobile IP was proposed to overcome identity problem of original IP address system caused by mobility of wireless mobile host. To complete its network handoff procedure, it must receive a mobile advertisement broadcasted by mobile agent. Generally, in a mobile IP system, mean time delay, 500ms, in a network handoff procedure is a critical problem of wireless service such as Voip, multimedia streaming. A caching agent caches a latest mobile advertisement, and replays it by receiving solicitation message from a mobile node finishing link layer detection. But, during the procedure of mobile registration, many packets from service provider to the mobile host would be lost and handoff time delay would be increased. In this thesis, we propose an unproved caching agent technique which can forward data packets while handoff procedure, and CoA pool for fast mobile IP registration.

The analysis of technology of the connected car (커넥티드 카의 기술 분석)

  • Shim, Hyun-Bo
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2015.10a
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    • pp.211-215
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    • 2015
  • It comes into the spotlight as the new Blue Ocean in which the connected car industry in which the car and mobile communication technology is convergence. All sorts of infortainments services connecting with the portable electronic device(Smart phone, tablet PC, and MP3 player) and car are rapidly grown. The Connected car emphasizes the vehicle connectivity with the concept that the car has communication with the around on a real time basis and it provides the safety and expedience to the operator and using the thing of Internet (IoT) in the car and supports the application, presently, the entertainment service including the real-time Navigation, parking assistant function, not only the remote vehicle control and management service but also Email, multimedia streaming service, SNS and with the platform. Intelligent vehicle network is studied as the kind according to MANET(Mobile Ad Hoc Network) for the safety operation of the cars of the road and improving the efficiency of the driving. The intelligent vehicle network is comprised for the driving information offering changing rapidly of the communication(V2V: Vehicle to Vehicle) between the car and the car, communication(V2I : Vehicle to Infrastructure) between the infrastructure and the car, and V2X (Vehicle to Nomadic).

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Adaptive Intra Fast Algorithm of H.264 for Video Surveillance (보안 영상 시스템에 적합한 H.264의 적응적 인트라 고속 알고리즘)

  • Jang, Ki-Young;Kim, Eung-Tae
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.33 no.12C
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    • pp.1055-1061
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    • 2008
  • H.264 is the prominent video coding standard in various applications such as real-time streaming and digital multimedia broadcasting, since it provides enhanced compression performance, error resilience tools, and network adaptation. Compression efficiency of H.264 has been improved, however, it requires more computing and memory access than traditional methods. In this paper we proposed adaptive intra fast algorithm for real-time video surveillance system reducing the encoding complexity of H264/A VC. For this aim, temporal interrelationship between macroblock in the previous and the current frame is used to decide the encoding mode of macroblock fast. As a result, though video quality was deteriorated a little, less than 0.04dB, and bit rate was somewhat increased in suggested method, however, proposed method improved encoding time significantly and, in particular, encoding time of an image with little changes of neighboring background such as surveillance video was more shortened than traditional methods.

Design of Optical Filter with Multilayer Slab/Fiber Structure (다층 슬랩-광섬유접속구조를 갖는 광필터의 설계)

  • Jeoung, Chan-Gwoun;Kang, Young-Jin;Kim, Sun-Youb
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.8 no.6
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    • pp.1369-1375
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    • 2007
  • The recent, a large capacity of telecommunication networks is required in order to it is in proportion to capacity of information communication increase and to satisfy a demand because of the demand about Internet, a multimedia service of internet, Video of internet protocol(VoIP), Audio/Video streaming. As a result, DWDM(Dense Wavelength Division Multiplexing)technologies are emerging to be a prevailing the method of solving it without additional optical fiber network building and high-speed equipment. Therefore this thesis proposed the optical filter of fiber/multilayer slab coupled structure combining it to multilayer slab waveguide by polishing the cladding of one side of fiber to design the optical filter having these functions. When a separation distance of fiber and slab was $3{\mu}m$, The optical filter proposed as the simulation result was satisfied with a DWDM filter characteristic with FWHM of 0.1nm on TM mode and TE mode as 32nm polarization independence in a communication window of $1.3{\mu}m$ when center wavelength was each ${\lambda}_0=1.274755{\mu}m$ and ${\lambda}_0=1.30591{\mu}m$.

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QARA: Quality-Aware Rate Adaptation for Scalable Video Multicast in Multi-Rate Wireless LANs (다중 전송율 무선랜에서의 스케일러블 비디오 멀티캐스트를 위한 품질 기반 전송 속도 적응 기법)

  • Park, Gwangwoo;Jang, Insun;Pack, Sangheon
    • KIPS Transactions on Computer and Communication Systems
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    • v.1 no.1
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    • pp.29-34
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    • 2012
  • Wireless multicast service can be used for video streaming service to save the network resources by sending the same popular multimedia contents to a group of users at once. For better multimedia streaming multicast service, we propose a quality-aware rate adaptation (QARA) scheme for scalable video multicast in rate adaptive wireless networks. In QARA, transmission rate is determined depending on the content's type and users' channel conditions. First, the base layer is transmitted by a low rate for high reliability. That means we provide basic service quality to all users. On the contrary, the transmission rate for enhancement layer is adapted by using channel condition feedback from a randomly selected node. So, the enhancement layer frames in a multimedia content is sent with various transmission rates. Therefore, each node can be provided with differentiated quality services. Consequently, QARA is capable of serving heterogeneous population of mobile nodes. Moreover, it can utilize network resources more efficiently. Our simulation results show that QARA outperforms utilization of the available transmission rate and reduces the data transmission time.

Design of Optical Filter Structure for DWDM (DWDM을 위한 광필터의 구조)

  • Jeoung, Chan-Gwoun;Ra, Yoo-Chan
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.11 no.7
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    • pp.1359-1366
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    • 2007
  • The recent, a large capacity of communication is required in order to it is in proportion to capacity of information communication increase and to satisfy a demand because of the demand about Internet, a multimedia service of Video of internet protocol(VoIP), Audio/Video steaming. DWDM(Dense Wavelength Division Multiplexing) technique has been emerged as the method of solving it without additional optical fiber network building and hish-speed equipment. Therefore this thesis proposed the optical filter of fiber/multilayer slab coupled structure combining it to multilayer slab waveguide by polishing the cladding of one side of fiber to design the optical filter having these functions. The optical filter proposed as the simulation result satisfies DWDM filter characteristic; 1) when the separation distance between fiber and slab is $4.15{\mu}m$ at the communication window of $1.5{\mu}m$, the polarization independence is 65nm, 2) when the center wavelengths about TM mode and TE mode are each ${\lambda}_0=1.54946\;{\mu}m$ and ${\lambda}_0=1.6144\;{\mu}m$ and, FWHM(Full at Half Maximun) is 0.1nm.

Deep Learning Music genre automatic classification voting system using Softmax (소프트맥스를 이용한 딥러닝 음악장르 자동구분 투표 시스템)

  • Bae, June;Kim, Jangyoung
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.23 no.1
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    • pp.27-32
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    • 2019
  • Research that implements the classification process through Deep Learning algorithm, one of the outstanding human abilities, includes a unimodal model, a multi-modal model, and a multi-modal method using music videos. In this study, the results were better by suggesting a system to analyze each song's spectrum into short samples and vote for the results. Among Deep Learning algorithms, CNN showed superior performance in the category of music genre compared to RNN, and improved performance when CNN and RNN were applied together. The system of voting for each CNN result by Deep Learning a short sample of music showed better results than the previous model and the model with Softmax layer added to the model performed best. The need for the explosive growth of digital media and the automatic classification of music genres in numerous streaming services is increasing. Future research will need to reduce the proportion of undifferentiated songs and develop algorithms for the last category classification of undivided songs.

Impact of consumer-oriented OTT service value on OTT platform selection through consumer perception (소비자 중심의 OTT 서비스 가치가 소비자 인식을 통해 OTT 플랫폼 선택에 미치는 영향)

  • Lee, Sin-Bok;Noh, Hyeyoung
    • The Journal of the Convergence on Culture Technology
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    • v.10 no.3
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    • pp.851-860
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    • 2024
  • This study analyzes the impact of online streaming services, particularly Over The Top (OTT) services, on consumer media consumption patterns in the digital age. It examines how consumer-centric service values affect OTT platform choice, consumer satisfaction, and brand loyalty, focusing on various factors such as content diversity, ease of use, affordability, brand awareness, and personalized services. The findings reveal that content diversity, ease of use, and affordability are significant factors positively influencing consumer satisfaction and brand loyalty, thereby motivating OTT platform selection. Contrary to expectations, personalized services did not have a significant impact. This research provides critical insights for OTT service providers to enhance consumer-centric values and develop competitive service strategies.

A Modification of The Fuzzy Logic Based DASH Adaptation Algorithm for Performance Improvement (성능 향상을 위한 퍼지 논리 기반 DASH 알고리즘의 수정)

  • Kim, Hyun-Jun;Son, Ye-Seul;Kim, Joon-Tae
    • Journal of Broadcast Engineering
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    • v.22 no.5
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    • pp.618-631
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    • 2017
  • In this paper, we propose a modification of fuzzy logic based DASH adaptation algorithm(FDASH) for seamless media service in time-varying network conditions. The proposed algorithm selects more appropriate bit-rate for the next segment by the modification of the Fuzzy Logic Controller(FLC) and reduces the number of video bit-rate changes by applying Segment Bit-rate Filtering Module(SBFM). Also, we apply the Start Mechanism for clients not to watch the low quality videos in the very beginning stage of streaming service and add the Sleeping Mechanism to avoid any buffer overflow expected. Ultimately, we verified by using NS-3 Network Simulator that the proposed method shows better performance compared to FDASH. According to the experimental results, there is no buffer underflow/overflow within the limited buffer size, which is not guaranteed in FDASH on the other hand. Also, we confirmed that mFDASH has almost the same level of average video quality against FDASH and reduces about 50% of number of video bit-rate changes compared to FDASH in Point-to-Point network and Wi-Fi network.

Video Transmission Technique based on Deep Neural Networks for Optimizing Image Quality and Transmission Efficiency (영상 품질 및 전송효율 최적화를 위한 심층신경망 기반 영상전송기법)

  • Lee, Jong Man;Kim, Ki Hun;Park, Hyun;Choi, Jeung Won;Kim, Kyung Woo;Bae, Sung Ho
    • Journal of Broadcast Engineering
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    • v.25 no.4
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    • pp.609-619
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    • 2020
  • In accordance with a demand for high quality video streaming, it needs high data rate in limited bandwidth and more traffic congestion occurs. In particular, when providing real time video service, packet loss rate and bit error probability increase significantly. To solve these problems, a raptor code, which is one of FEC(Forward Error Correction) techniques, is pervasively used in the application layers as a method for improving real-time service quality. In this paper, we propose a method of determining image transmission parameters based on various deep neural networks to increase transmission efficiency at a similar level of image quality by using raptor codes. The proposed neural network uses the packet loss rate, video encoding rate and data rate as inputs, and outputs raptor FEC parameters and packet sizes. The results of the proposed method present that the throughput is 1.2% higher than that of the existing multimedia transmission technique by optimizing the transmission efficiency at a PSNR(Peak Signal-to-Noise Ratio) level similar to that of the existing technique.