• Title/Summary/Keyword: Multi-streaming method

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Efficient Intermediate Node mobility Management Technique in CCN Real-time Streaming Environment (CCN 실시간 스트리밍 환경에서 효율적인 중간노드 이동성 관리 기법)

  • Yoon-Young Kim;Tae-Wook Kwon
    • The Journal of the Korea institute of electronic communication sciences
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    • v.18 no.6
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    • pp.1073-1080
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    • 2023
  • The development and speed improvement of the Internet network, and the development of many platforms based on it, have brought about a rapid expansion of production and consumption of various contents. However, the existing IP-based Internet system cannot efficiently cope with such an urgent increase in data. Accordingly, an alternative called the CCN(Contents Centric Network) has emerged, enabling more efficient data transmission and reception centered on content rather than host. In this paper, we will deal with the mobility of intermediate nodes in CCN real-time streaming service, which is one of the major research fields of CCN, and minimize network overload through more efficient path switching through RSSI detection. In other words, by improving the method of selecting and switching a spare path when an intermediate node located between the requester(consumer) and the provider moves, a mechanism for managing data transmission is not interrupted and unnecessary load due to route switching does not occur in the network.

Fast Decision Method of Adaptive Motion Vector Resolution (적응적 움직임 벡터 해상도 고속 결정 기법)

  • Park, Sang-hyo
    • Journal of Broadcast Engineering
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    • v.25 no.3
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    • pp.305-312
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    • 2020
  • As a demand for a new video coding standard having higher coding efficiency than the existing standards is growing, recently, MPEG and VCEG has been developing and standardizing the next-generation video coding project, named Versatile Video Coding (VVC). Many inter prediction techniques have been introduced to increase the coding efficiency, and among them, an adaptive motion vector resolution (AMVR) technique has contributed on increasing the efficiency of VVC. However, the best motion vector can only be determined by computing many rate-distortion costs, thereby increasing encoding complexity. It is necessary to reduce the complexity for real-time video broadcasting and streaming services, but it is yet an open research topic to reduce the complexity of AMVR. Therefore, in this paper, an efficient technique is proposed, which reduces the encoding complexity of AMVR. For that, the proposed method exploits a special VVC tree structure (i.e., multi-type tree structure) to accelerate the decision process of AMVR. Experiment results show that the proposed decision method reduces the encoding complexity of VVC test model by 10% with a negligible loss of coding efficiency.

A Study of Real-time SVC Bitstream Extraction for QoS guaranteed Streaming (QoS 기반 스트리밍 서비스를 위한 실시간 SVC 비트스트림 추출기에 대한 연구)

  • Kim, Duck-Yeon;Bae, Tae-Meon;Kim, Young-Suk;Ro, Yong-Man;Choi, Hae-Chul;Kim, Jae-Gon
    • Proceedings of the IEEK Conference
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    • 2005.11a
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    • pp.513-516
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    • 2005
  • SVC(Scalable Video coding) is the standardization of MPEG that aims to support multi spatial, temporal, and quality layers. We can support the video service guaranteeing the QoS in varied network circumstance by using SVC bitstream. In this paper, we propose the real-time SVC bitstream extractor that is able to extract the bitstream with varied frame rate and SNR quality in real-time. To do, extraction processing needs to be performed by GOP unit. As well , essential bitstream information for real-time extraction is aquired before doing extraction process. The proposed method is implemented by using JSVM 2.0. Experimental results show that the proposed method is valid.

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PSNR Enhancement in Image Streaming over Cognitive Radio Sensor Networks

  • Bahaghighat, Mahdi;Motamedi, Seyed Ahmad
    • ETRI Journal
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    • v.39 no.5
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    • pp.683-694
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    • 2017
  • Several studies have focused on multimedia transmission over wireless sensor networks (WSNs). In this paper, we propose a comprehensive and robust model to transmit images over cognitive radio WSNs (CRWSNs). We estimate the spectrum sensing frequency and evaluate its impact on the peak signal-to-noise ratio (PSNR). To enhance the PSNR, we attempt to maximize the number of pixels delivered to the receiver. To increase the probability of successful image transmission within the maximum allowed time, we minimize the average number of packets remaining in the send buffer. We use both single- and multi-channel transmissions by focusing on critical transmission events, namely hand-off (HO), No-HO, and timeout events. We deploy our advanced updating method, the dynamic parameter updating procedure, to guarantee the dynamic adaptation of model parameters to the events. In addition, we introduce our ranking method, named minimum remaining packet best channel selection, to enable us to rank and select the best channel to improve the system performance. Finally, we show the capability of our proposed image scrambling and filtering approach to achieve noticeable PSNR improvement.

Implementing 3DoF+ 360 Video Compression System for Immersive Media (실감형 미디어를 위한 3DoF+ 360 비디오 압축 시스템 구현)

  • Jeong, Jong-Beom;Lee, Soonbin;Jang, Dongmin;Lee, Sangsoon;Ryu, Eun-Seok
    • Journal of Broadcast Engineering
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    • v.24 no.5
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    • pp.743-754
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    • 2019
  • System for three degrees of freedom plus (3DoF+) and 6DoF requires multi-view high resolution 360 video transmission to provide user viewport adaptive 360 video streaming. In this paper, we implement 3DoF+ 360 video compression system which removes the redundancy between multi-view videos and merges the residual into one video to provide high quality 360 video corresponding to an user's head movement efficiently. Implementations about 3D warping based redundancy removal method between 3DoF+ 360 videos and residual extraction and merger are explained in this paper. With the proposed system, 20.14% of BD-rate reduction in maximum is shown compared to traditional high-efficiency video coding (HEVC) based system.

Target Advertisement based on a TV Viewer's Profile Inference and TV Anytime Metadata (시청자 프로파일 추론과 TV Anytime 메타데이타를 이용한 표적 광고)

  • Kim, Mun-Jo;Lee, Bum-Sik;Lim, Jeong-Yon;Kim, Mun-Churl;Lee, Hee-Kyung;Lee, Han-Gyu
    • Journal of KIISE:Computer Systems and Theory
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    • v.33 no.10
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    • pp.709-721
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    • 2006
  • The traditional broadcasting services over terrestrial, satellite and cable media have been unidirectional mass media regardless of TV viewer's preferences. Recently ich media streaming has become possible via the broadb and networks. Furthermore, since bidirectional communication is possible, personalcasting such as personalized streaming services has been emerging by taking into account the user's preference on content genres, viewing times and actors/actresses etc. Accordingly, personal media becomes an important means for content provision service in addition to the traditional broadcasting service as mass media. In this paper, we introduce a user profile reasoning method for target advertisement which is considered an important application in personalcasting service. The proposed user profile reasoning method predicts an unknown TV viewer's gender and ages by analyzing TV Viewing history data. Based on the estimated user's gender and ages, a target advertisement is provided with TV Anytime metadata. A proposed target advertisement system is developed based on the user profile reasoning and the target advertisement selection method. To show the effectiveness of our proposed methods, we present a plenty of experimental results by using realistic TV viewing history data.

Virtual Queue Based QoS Layered Vertical Mapping in Wireless Networks

  • Fang, Shu-Guang;Tang, Ri-Zhao;Dong, Yu-Ning;Zhang, Hui
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.8 no.6
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    • pp.1869-1880
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    • 2014
  • Wireless communication is one of most active areas in modern communication researches, QoS (Quality of Service) assurance is very important for wireless communication systems design, especially for applications such as streaming video etc., which requires strict QoS assurance. The modern wireless networks multi-layer protocol stack structure results in QoS metrics layered and acting in cascade and QoS metrics vertical mapping between protocol layers. Based on virtual buffer between protocol layers and queuing technology, a unified layered QoS mapping framework is proposed in this paper, in which we first propose virtual queue concept, give a novelty united neighboring protocol layers QoS metric mapping framework, and analysis method based on dicerete-time Markov chain, and numerical results show that our proposed framework represents a significant improvement over previous model.

An Efficient Overlay Multicast Scheduling for Composite Stream in P2P Environment (P2P 환경에서 복합 스트림 서비스를 위한 효율적인 오버레이 멀티캐스트 스케줄링)

  • Kim, Jong-Gyung;Choi, Sung-Uk
    • Journal of the Korea Society of Computer and Information
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    • v.13 no.6
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    • pp.233-241
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    • 2008
  • The overlay multicast that has been recently presented as an alternative for the IP multicast needs scheduling method that can apply the system resource and the network bandwidth for the many users. We propose a efficient overlay multicasting network policy for multimedia services with composite stream service topology. And in order to evaluate the ability of the proposed scheme's performance, We test the performance of multi_casting nodes with RTT values, the bandwidth attrition rate for building the network topology and MOR effects with Overcast[5] The result of simulation shows improves about $8{\sim}20%$ of performance.

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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.

A Study of Performance Analysis on Effective Multiple Buffering and Packetizing Method of Multimedia Data for User-Demand Oriented RTSP Based Transmissions Between the PoC Box and a Terminal (PoC Box 단말의 RTSP 운용을 위한 사용자 요구 중심의 효율적인 다중 수신 버퍼링 기법 및 패킷화 방법에 대한 성능 분석에 관한 연구)

  • Bang, Ji-Woong;Kim, Dae-Won
    • Journal of Korea Multimedia Society
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    • v.14 no.1
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    • pp.54-75
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    • 2011
  • PoC(Push-to-talk Over Cellular) is an integrated technology of group voice calls, video calls and internet based multimedia services. If a PoC user can not participate in the PoC session for various reasons such as an emergency situation, lack of battery capacity, then the user can use the PoC Box which has a similar functionality to the MM Box in the MMS(Multimedia Messaging Service). The RTSP(Real-Time Streaming Protocol) method is recommended to be used when there is a transmission session between the PoC box and a terminal. Since the existing VOD service uses a wired network, the packet size of RTSP-based VOD service is huge, however, the PoC service has wireless communication environments which have general characteristics to be used in RTSP method. Packet loss in a wired communication environments is relatively less than that in wireless communication environment, therefore, a buffering latency occurs in PoC service due to a play-out delay which means an asynchronous play of audio & video contents. Those problems make a user to be difficult to find the information they want when the media contents are played-out. In this paper, the following techniques and methods were proposed and their performance and superiority were verified through testing: cross-over dual reception buffering technique, advance partition multi-reception buffering technique, and on-demand multi-reception buffering technique, which are designed for effective picking up of information in media content being transmitted in short amount of time using RTSP when a user searches for media, as well as for reduction in playback delay; and same-priority packetization transmission method and priority-based packetization transmission method, which are media data packetization methods for transmission. From the simulation of functional evaluation, we could find that the proposed multiple receiving buffering and packetizing methods are superior, with respect to the media retrieval inclination, to the existing single receiving buffering method by 6-9 points from the viewpoint of effectiveness and excellence. Among them, especially, on-demand multiple receiving buffering technology with same-priority packetization transmission method is able to manage the media search inclination promptly to the requests of users by showing superiority of 3-24 points above compared to other combination methods. In addition, users could find the information they want much quickly since large amount of informations are received in a focused media retrieval period within a short time.