The exponential growth and availability of data is the main driving force to the continuing evolution in the communication industry. The mobile video traffic is the main component of the immense amount of traffic gene...
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The exponential growth and availability of data is the main driving force to the continuing evolution in the communication industry. The mobile video traffic is the main component of the immense amount of traffic generated by smart devices and requires a paradigm shift in all aspects of mobile network. Ultra-dense network (UDN) is one of the leading ideas where the access nodes and the communication links per unit area are densified. In this paper, we provide an introduction of UDN and video services. The relative techniques are summarized as well as the recent finding. Finally, we discuss the problems to the researchers in the field of video application in UDN.
We propose a quality assessment method from decoding parameters of compressed bitstreams by scalable video coding (SVC) as a hybrid/bitstream category. Conventional video quality assessment methods evaluate the video ...
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We propose a quality assessment method from decoding parameters of compressed bitstreams by scalable video coding (SVC) as a hybrid/bitstream category. Conventional video quality assessment methods evaluate the video quality of degraded videos after full reconstruction. However, the proposed assessment method quantifies video quality of SVC not only with reconstructed videos for the base layer but also with decoding parameters for the enhancement layer. The proposed algorithm assesses the enhanced quality degree of the enhancement layers with statistics of various coding parameters for the enhancement layers with respect to the quality of the base layer. The accuracy of the proposed algorithm is 23% higher than those of conventional algorithms in terms of Pearson correlation. Furthermore, the proposed algorithm has significantly lower computational complexity than conventional methods. (C) 2012 Society of Photo-Optical Instrumentation Engineers (SPIE). [DOI: 10.1117/***.51.6.067403]
Nowadays, multimedia is omnipresent in the Internet and generates the major total traffic in fixed and mobile networks. While video streaming services become more crucial for mobile users, their traffic may often exce...
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ISBN:
(纸本)9781538621950
Nowadays, multimedia is omnipresent in the Internet and generates the major total traffic in fixed and mobile networks. While video streaming services become more crucial for mobile users, their traffic may often exceed the bandwidth capacity of cellular networks. Content Centric Networking (CCN) can be an attractive solution which adapts the network architecture to the current network usage pattern. In this paper, we propose a CCN peer-to-peer video-on-demand streaming protocol based on scalable video coding. We implement a collaborative strategy which improves the video segments availability in the network and reduces latency relying on CCN functionalities such as caching and routing by name. We also propose a control strategy allowing to scale to highly dynamic networks. Through the tests carried out to evaluate the performance of our solution, we show its effectiveness. Indeed, it reduces significantly the initial playback delay and enhances the streaming quality compared to a traditional service with no collaboration policy.
In this paper, we propose a multi-path (e.g., WiFi, and LTE) video streaming algorithm for videos encoded using scalable video coding (SVC) in which each chunk of the video is encoded into a single base layer and mult...
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ISBN:
(纸本)9781538638217
In this paper, we propose a multi-path (e.g., WiFi, and LTE) video streaming algorithm for videos encoded using scalable video coding (SVC) in which each chunk of the video is encoded into a single base layer and multiple enhancement layers. The multi-path SVC streaming subject to the available bandwidth of the different paths and the chunk deadlines is formulated as a non convex optimization problem. The objective is to optimize a Quality of Experience (QoE) metric that maintains a tradeoff between maximizing the average quality and minimizing the rebuffering duration and quality switching rate. A novel polynomial time complexity algorithm is developed to solve the proposed non convex optimization problem. Extensive emulated experiments with real SVC encoded videos and real bandwidth traces of public dataset reveal the robustness of our scheme and show its significant performance improvement compared to other multi-path algorithms.
video signal transmission enables a wide range of applications in the underwater environment;such as coastal and tactical multimedia surveillance, undersea/offshore exploration, oil pipe/bridge inspection, video monit...
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ISBN:
(纸本)9781538648148
video signal transmission enables a wide range of applications in the underwater environment;such as coastal and tactical multimedia surveillance, undersea/offshore exploration, oil pipe/bridge inspection, video monitoring of geological/biological processes from the seafloor to the air-sea interface-that all require real-time multimedia acquisition and classification. Yet, it is a challenge to achieve an efficient and reliable video transmission, due to the spectrum limitations underwater and also the error prone nature of the acoustic channel. In this paper, we propose a pairwise scheme to manage the video distortion-rate tradeoff for underwater video transmission. The proposed Multi-input Multi-output (MIMO)-based Software-Defined Acoustic Radio (SDAR) system adapts itself to meet the needs of both video compression and underwater channel in a timely manner from one hand, and keeps the overall video distortion-caused by the coder/decoder and channel-under an acceptable threshold from the other hand. The scalability of Universal Software Radio Peripheral (USRP) with high processing capabilities is exploited in the proposed structure along with the temporal, spatial and quality scalability of scalable video coding (SVC) H.264/MPEG-4 AVC compression standard. Experimental results at Sonny Werblin Recreation Center, Rutgers University, as well as simulations are presented, while more experiments are in-progress to evaluate the performance of our testbed in more challenging environments such as in the Raritan River, New Jersey.
Adaptive video streaming techniques based on the current network conditions have elevated the overall quality of video streaming over the past few years. Different solutions for providing adaptive video streaming exis...
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ISBN:
(纸本)9783319951683;9783319951676
Adaptive video streaming techniques based on the current network conditions have elevated the overall quality of video streaming over the past few years. Different solutions for providing adaptive video streaming exist in the literature, and one of them is scalable video coding (SVC). A video segment is divided into one base layer and multiple enhancement layers in SVC. Effective buffering at the client and its state is another critical factor for improved viewing quality of the video, which is rarely considered. Timely information regarding client's buffer state and current network condition is a vital role to adapt with the number of layers in SVC appropriately. Network softwarization through Software Defined Networking (SDN) provides an opportunity to manage and control video streams with better resource management. This paper improves AVS in SDN enabled network through combined measurement of current network bandwidth and client's buffer state. At the SDN controller, the proposed solution estimates the remaining buffer time and collects the current bandwidth condition of the network to determine the number of enhancement layers for a video segment. SVC video server is extended to transmit a video segment based on the number of enhancement layers decided by the SDN controller. The emulation-based performance evaluation shows that the proposed solution not only improves the video quality against conventional approach under low to moderate network utilization, but also increases the network utilization.
video streaming traffic has grown sharply in recent years. Dynamic Adaptive Streaming (DAS) is widely used in video streaming because of its ability to cope with the network dynamics and terminal heterogeneity. Compar...
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ISBN:
(纸本)9781538648704
video streaming traffic has grown sharply in recent years. Dynamic Adaptive Streaming (DAS) is widely used in video streaming because of its ability to cope with the network dynamics and terminal heterogeneity. Compared with AVC(advanced videocoding), SVC(scalable video coding) can better adapt to network conditions, reduce server storage and improve users' playback QoE. However, the present TCP/IP network is communication-oriented, focusing on addressing rather than content, which can not fully realize the potential of DAS and SVC. Named Data Networking (NDN) is a new network architecture that centers around content. Its name based routing, in-network caching, hop-by-hop forwarding and built-in multicast support naturally fits the pattern of DAS and SVC. As the last piece of jigsaw puzzle, coupled with DAS and SVC, NDN is believed to be able to provide better video streaming performance. In this paper, we proposed a customized SVC-aware cache and forwarding policy for ordinary NDN routers to support video streaming applications. Simulation results based on ndnSIM2.3 showed that the proposed policy can improve the average playback bitrate and reduce the video stall frequency as well as duration.
Salsify is a new architecture for real-time Internet video that tightly integrates a video codec and a network transport protocol, allowing it to respond quickly to changing network conditions and avoid provoking pack...
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ISBN:
(纸本)9781939133014
Salsify is a new architecture for real-time Internet video that tightly integrates a video codec and a network transport protocol, allowing it to respond quickly to changing network conditions and avoid provoking packet drops and queueing delays. To do this, Salsify optimizes the compressed length and transmission time of each frame, based on a current estimate of the network's capacity;in contrast, existing systems generally control longer-term metrics like frame rate or bit rate. Salsify's per-frame optimization strategy relies on a purely functional video codec, which Salsify uses to explore alternative encodings of each frame at different quality levels. We developed a testbed for evaluating real-time video systems end-to-end with reproducible video content and network conditions. Salsify achieves lower video delay and, over variable network paths, higher visual quality than five existing systems: FaceTime, Hangouts, Skype, and WebRTC's reference implementation with and without scalable video coding.
Aiming at improving the video transmission service in Wireless Mesh Network (WMN), this paper presents a scalablevideo transmission system over WMN with Software Defined Networking (SDN) architecture. By integrating ...
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ISBN:
(纸本)9781538646335
Aiming at improving the video transmission service in Wireless Mesh Network (WMN), this paper presents a scalablevideo transmission system over WMN with Software Defined Networking (SDN) architecture. By integrating SDN, the control plane of WMN is separated from the data plane and been managed by a centralized controller which conduct network optimization using global network information. Following this architecture, we formulate the scalablevideo bitrate adaptation problem as maximizing the average video quality while keeping the link congestion probability below certain threshold. In order to solve this problem, we derive an online adaptation strategy based on large deviation principle (LDP) to estimate congestion probability and adjust the video's bitrate accordingly. To verify the performance of the proposed strategy, we implement our experiments in Mininet-wifi and the results validate the effectiveness of our algorithm.
We develop the optimal economical caching schemes in cache-enabled heterogeneous networks, while delivering multimedia video services with personalized viewing qualities to mobile users. By applying scalablevideo cod...
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