The Experts below are selected from a list of 69624 Experts worldwide ranked by ideXlab platform
Kwangsue Chung - One of the best experts on this subject based on the ideXlab platform.
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A handover-aware seamless Video Streaming scheme in heterogeneous wireless networks
annals of telecommunications - annales des télécommunications, 2014Co-Authors: Kwangsue ChungAbstract:With the development of wireless technologies, Video Streaming services over heterogeneous wireless networks have become more popular in recent years. Video Streaming schemes for heterogeneous networks should consider vertical handover in which the link capacity is varied significantly, because the quality experienced for a Video Streaming service is affected by the network status. When a vertical handover occurs, an abrupt bandwidth change and substantial handover latency lead to bursty packet loss and discontinuity of the Video playback. In this paper, we propose a handover-aware Video Streaming scheme to provide seamless Video Streaming services over heterogeneous wireless networks. The proposed scheme adjusts its sending rate and the quality level of the transmitted Video streams according to the significant bandwidth variation that occurs in a vertical handover. To expedite the response to the bandwidth variation due to a handover, our scheme uses an explicit notification message that informs the Streaming server of a client's handover occurrence. In order to evaluate the performance, we use a simulation environment for a vertical handover between wireless local area networks and cellular networks. Through the simulation results, we prove that our scheme improves the experienced quality of Video Streaming in vertical handovers.
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Quality Adaptive Video Streaming Mechanism Using the Temporal Scalability
IEICE Transactions on Communications, 2008Co-Authors: Sunhun Lee, Kwangsue ChungAbstract:In Video Streaming applications over the Internet, TCP-friendly rate control schemes are useful for improving network stability and inter-protocol fairness. However, they do not always guarantee a smooth Video Streaming. To simultaneously satisfy both the network and user requirements, Video Streaming applications should be quality-adaptive. In this paper, we propose a new quality adaptation mechanism to adjust the quality of congestion-controlled Video stream by controlling the frame rate. Based on the current network condition, it controls the frame rate of Video stream and the sending rate in a TCP-friendly manner. Through a simulation, we prove that our adaptation mechanism appropriately adjusts the quality of Video stream while improving network stability.
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ICOIN - Quality Adaptation with Temporal Scalability for Adaptive Video Streaming
Lecture Notes in Computer Science, 2008Co-Authors: Sunhun Lee, Kwangsue ChungAbstract:In Video Streaming applications over the Internet, TCP- friendly rate control schemes are useful for improving network stability and inter-protocol fairness. However it does not always guarantee a smooth quality for Video Streaming. To simultaneously satisfy both the network and application requirements, Video Streaming applications should be quality-adaptive. In this paper, we propose a new quality adaptation mechanism to adjust the quality of congestion controlled Video stream by controlling the frame rate. Based on the current network condition, it controls the frame rate and sending rate of Video stream. Through the simulation, we prove that our adaptation mechanism appropriately adjusts the quality of Video stream while improving network stability.
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MMNS - MaVIS: media-aware Video Streaming mechanism
Autonomic Management of Mobile Multimedia Services, 2006Co-Authors: Sunhun Lee, Kwangsue ChungAbstract:Existing Streaming protocols have no consideration for the characteristics of Streaming applications because they only consider the network stability. In this paper, in order to overcome limitations of the previous schemes for Video Streaming, we propose a new Video Streaming mechanism called ”MaVIS (Media-aware Video Streaming)”. The MaVIS takes more sophisticated mechanism that considers both network and user requirements. Proposed mechanism improves the network stability by adjusting the sending rate suitable for current network state and it also provides the smoothed playback by preventing buffer underflow or overflow. Moreover, it is designed to consider characteristics of the Video stream. Through the simulation, we prove that the MaVIS mechanism efficiently uses the buffer resources and provides improved network stability and smoothed playback.
Walid Dabbous - One of the best experts on this subject based on the ideXlab platform.
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Network Characteristics of Video Streaming Traffic
arXiv: Networking and Internet Architecture, 2011Co-Authors: Ashwin Rao, Yeon-sup Lim, Chadi Barakat, Arnaud Legout, Don Towsley, Walid DabbousAbstract:Video Streaming represents a large fraction of Internet traffic. Surprisingly, little is known about the network characteristics of this traffic. In this paper, we study the network characteristics of the two most popular Video Streaming services, Netflix and YouTube. We show that the Streaming strategies vary with the type of the application (Web browser or native mobile application), and the type of container (Silverlight, Flash, or HTML5) used for Video Streaming. In particular, we identify three different Streaming strategies that produce traffic patterns from non-ack clocked ON-OFF cycles to bulk TCP transfer. We then present an analytical model to study the potential impact of these Streaming strategies on the aggregate traffic and make recommendations accordingly.
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CoNEXT - Network characteristics of Video Streaming traffic
Proceedings of the Seventh COnference on emerging Networking EXperiments and Technologies on - CoNEXT '11, 2011Co-Authors: Ashwin Rao, Yeon-sup Lim, Chadi Barakat, Arnaud Legout, Don Towsley, Walid DabbousAbstract:Video Streaming represents a large fraction of Internet traffic. Surprisingly, little is known about the network characteristics of this traffic. In this paper, we study the network characteristics of the two most popular Video Streaming services, Netflix and YouTube. We show that the Streaming strategies vary with the type of the application (Web browser or native mobile application), and the type of container (Silverlight, Flash, or HTML5) used for Video Streaming. In particular, we identify three different Streaming strategies that produce traffic patterns from non-ack clocked ON-OFF cycles to bulk TCP transfer. We then present an analytical model to study the potential impact of these Streaming strategies on the aggregate traffic and make recommendations accordingly.
Abdelhamid Mellouk - One of the best experts on this subject based on the ideXlab platform.
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Enhanced user datagram protocol for Video Streaming in VANET
2017 IEEE International Conference on Communications (ICC), 2017Co-Authors: Sofiane Zaidi, Salim Bitam, Abdelhamid MelloukAbstract:Research and development on Video Streaming over vehicular ad hoc networks (VANETs) have expanded rapidly in the last few years. In order to improve road safety and to satisfy road users requirements, Video Streaming has been proposed to disseminate continuously, an accurate Video data, concerning traffic circumstance, travel information, divertissement, etc. High quality Video Streaming in vehicular environment is very challenging due to the very high dynamic of VANET topology and its intermittent connection, stringent requirements of Video transmission such as reduced propagation delay and decreased signal to noise ratio. In this paper, we propose a new protocol called Enhanced User Datagram Protocol (EUDP) for Video Streaming in VANET. Unlike User Datagram Protocol (UDP) which did not consider any recovery mechanism of erroneous packets, EUDP uses Sub-Packet Forward Error Correction (SPFEC), and adopts the unequal protection of Video frame types (i.e. I, P, B) to improve the Video Streaming quality. After a set of simulations and comparisons with UDP and EUDP without unequal protection of Video frame types (EUDP-E), our proposal showed a significant improvement in terms of error recovery rate, PSNR and MOS of transmitted Video.
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ICC - Enhanced user datagram protocol for Video Streaming in VANET
2017 IEEE International Conference on Communications (ICC), 2017Co-Authors: Sofiane Zaidi, Salim Bitam, Abdelhamid MelloukAbstract:Research and development on Video Streaming over vehicular ad hoc networks (VANETs) have expanded rapidly in the last few years. In order to improve road safety and to satisfy road users requirements, Video Streaming has been proposed to disseminate continuously, an accurate Video data, concerning traffic circumstance, travel information, divertissement, etc. High quality Video Streaming in vehicular environment is very challenging due to the very high dynamic of VANET topology and its intermittent connection, stringent requirements of Video transmission such as reduced propagation delay and decreased signal to noise ratio. In this paper, we propose a new protocol called Enhanced User Datagram Protocol (EUDP) for Video Streaming in VANET. Unlike User Datagram Protocol (UDP) which did not consider any recovery mechanism of erroneous packets, EUDP uses Sub-Packet Forward Error Correction (SPFEC), and adopts the unequal protection of Video frame types (i.e. I, P, B) to improve the Video Streaming quality. After a set of simulations and comparisons with UDP and EUDP without unequal protection of Video frame types (EUDP-E), our proposal showed a significant improvement in terms of error recovery rate, PSNR and MOS of transmitted Video.
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Regulating QoE for Adaptive Video Streaming
Quality of Experience Paradigm in Multimedia Services, 2017Co-Authors: Muhammad-sajid Mushtaq, Abdelhamid MelloukAbstract:We briefly discussed Video Streaming technologies over unmanaged networks, focusing mainly on Adobe’s HDS adaptive Video Streaming technology. This chapter extends the investigation of the user’s QoE from the perspective of three important parameters (bandwidth, buffer and dropped frame rate). It focuses on an adaptive method that can efficiently manage Video Streaming traffic according to different parameters in order to regulate the user’s QoE.
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QoE Approaches for Adaptive Transport of Video Streaming Media
2014Co-Authors: Muhammad-sajid Mushtaq, Brice Augustin, Abdelhamid MelloukAbstract:This chapter discusses the different transport approaches for adaptive Video Streaming media, and how they influence the Quality of Experience (QoE). These approaches are based solely on the HTTP protocol, and are specially designed for Video transportation over the Internet to support the wide range of devices and maximize end user's perceived quality. The leading groups and companies, e.g. Microsoft, Apple, Adobe and MPEG/3GPP have introduced their own standard approaches to facilitate the on-demand or live adaptive Video Streaming transport over HTTP. The main goals of adaptive Video Streaming are to improve and optimize user's QoE by changing the Video quality according to network parameters, end user's device properties and other characteristics. There are five main quality metrics of Video Streaming that affect the user engagement during Video watching, and influence user's QoE. The adaptive Video Streaming approaches use Transmission Control Protocol (TCP) as a transport protocol.
S. Gardner - One of the best experts on this subject based on the ideXlab platform.
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CCNC - Empirical Experiences in Mobile-to-Mobile Video Streaming
2008 5th IEEE Consumer Communications and Networking Conference, 2008Co-Authors: S.e. Davies, S. GardnerAbstract:There are a number of internet-based Video Streaming products and several mobile Video Streaming technologies currently available. However, little has been specifically developed for mobile-to-mobile Video Streaming using the Internet protocol (IP). This paper discusses some currently available technical implementations in mobile peer-to-peer (P2P) Video Streaming. These technologies will be compared with respect to their mobile-to-mobile Video performance in a packet switched environment. Alternative methods in achieving mobile P2P Video Streaming are also mentioned.
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Quantitative experiences in bidirectional mobile to mobile audio & Video Streaming
2007 ITI 5th International Conference on Information and Communications Technology, 2007Co-Authors: S.e. Davies, S. Gardner, D.l. JonesAbstract:There are a number of internet-based Video Streaming products and several mobile Video Streaming technologies currently available. However, little has been specifically developed for mobile-to-mobile Video Streaming using the Internet Protocol (IP). This paper discusses some currently available technical implementations in mobile peer-to-peer (P2P) Video Streaming. These technologies will be compared with respect to their mobile-to-mobile Video performance in a packet switched environment. Alternative methods in achieving mobile P2P Video Streaming are also mentioned.
Sunhun Lee - One of the best experts on this subject based on the ideXlab platform.
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Quality Adaptive Video Streaming Mechanism Using the Temporal Scalability
IEICE Transactions on Communications, 2008Co-Authors: Sunhun Lee, Kwangsue ChungAbstract:In Video Streaming applications over the Internet, TCP-friendly rate control schemes are useful for improving network stability and inter-protocol fairness. However, they do not always guarantee a smooth Video Streaming. To simultaneously satisfy both the network and user requirements, Video Streaming applications should be quality-adaptive. In this paper, we propose a new quality adaptation mechanism to adjust the quality of congestion-controlled Video stream by controlling the frame rate. Based on the current network condition, it controls the frame rate of Video stream and the sending rate in a TCP-friendly manner. Through a simulation, we prove that our adaptation mechanism appropriately adjusts the quality of Video stream while improving network stability.
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ICOIN - Quality Adaptation with Temporal Scalability for Adaptive Video Streaming
Lecture Notes in Computer Science, 2008Co-Authors: Sunhun Lee, Kwangsue ChungAbstract:In Video Streaming applications over the Internet, TCP- friendly rate control schemes are useful for improving network stability and inter-protocol fairness. However it does not always guarantee a smooth quality for Video Streaming. To simultaneously satisfy both the network and application requirements, Video Streaming applications should be quality-adaptive. In this paper, we propose a new quality adaptation mechanism to adjust the quality of congestion controlled Video stream by controlling the frame rate. Based on the current network condition, it controls the frame rate and sending rate of Video stream. Through the simulation, we prove that our adaptation mechanism appropriately adjusts the quality of Video stream while improving network stability.
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MMNS - MaVIS: media-aware Video Streaming mechanism
Autonomic Management of Mobile Multimedia Services, 2006Co-Authors: Sunhun Lee, Kwangsue ChungAbstract:Existing Streaming protocols have no consideration for the characteristics of Streaming applications because they only consider the network stability. In this paper, in order to overcome limitations of the previous schemes for Video Streaming, we propose a new Video Streaming mechanism called ”MaVIS (Media-aware Video Streaming)”. The MaVIS takes more sophisticated mechanism that considers both network and user requirements. Proposed mechanism improves the network stability by adjusting the sending rate suitable for current network state and it also provides the smoothed playback by preventing buffer underflow or overflow. Moreover, it is designed to consider characteristics of the Video stream. Through the simulation, we prove that the MaVIS mechanism efficiently uses the buffer resources and provides improved network stability and smoothed playback.
