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HTTP adaptive streaming (HAS) is the dominating type of video traffic in fixed and mobile networks. Although more and more mobile users stream videos over their cellular data connections, buffering is still a common problem due to fluctuating radio signal strength. We will demonstrate a new generation of context-aware HAS algorithms, which adapt video bit-rate based on location and radio information...
The lack of adequate support for multicast hinders the ability of WiFi to deliver high quality video in crowded areas with large number of users. In our recent papers, we presented techniques for low-overhead feedback collection and rate adaptation for WiFi multicast. In this demo, we present a platform for evaluating video delivery over multicast using these techniques. The platform does not require...
In mobile networks, users may lose coverage when entering a building due to the high signal attenuation at windows and walls. Under such conditions, services with minimum bit-rate requirements, such as video streaming, often show poor Quality-of-Experience (QoE). We will approach this problem in two steps. First, we present a Bayesian detector that combines measurements from two Smartphone sensors...
The sovereignty of cloud-deployed media applications and services is improbable to be disrupted in the foreseeable future. This paper aims to provide an overview of the most essential technologies utilized by this constantly evolving cloud ecosystem, identify the design principles of a media-aware cloud and present an architectural position based on the research conclusions. An end-to-end quality-aware...
With the ever-increasing demand for high quality video, mobile video transmission optimization over limited wireless network capacity has been attracted extensive attention. HTTP Adaptive Bit Rate (ABR) streaming is a main solution to provide better Quality of Experience (QoE) by adapting multimedia content over wireless channels real-timely. Deployment of caching in wireless network has been considered...
As video accounts for larger wireless traffic, improving users' quality of experience becomes important for network service providers. In this paper, we apply supervised machine learning technique to predict one objective QoE metric, video starvation, with the users' features, recorded at the beginning of each video session. We show that static users and adaptive streaming users have less starvation...
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...
Highly predictable users' location and traffic have enabled a new video delivery paradigm over wireless networks referred to as Predictive Resource Allocation (PRA). Existing research assumes perfect prediction of information in order to derive the performance bounds of PRA and define its gains over conventional Resource Allocation (RA). In this paper we sustain the application of energy-efficient...
Crowd-sourcing the resources of mobile devices is a hot topic of research given the game-changing applications it may enable. In this paper we study the feasibility of using edge-clouds of mobile devices to reduce the load in traditional WiFi infrastructures for video dissemination applications. For this purpose, we designed and implemented a mobile application for video dissemination in sport venues...
Transmission of high quality video over wireless networks is increasingly important as users consume more video on mobile devices. Improvement in display technologies will drive demand for higher quality experiences such as multiview video, at the expense of greater bandwidth requirements. The viewing experience can be disrupted while streaming video due to packet loss caused by network congestion...
This paper describes a novel system that provides key parameters of HTTP Adaptive Streaming (HAS) sessions to the lower layers of the protocol stack. A non-intrusive traffic profiling solution is proposed that observes packet flows at the transmit queue of base stations, edge-routers, or gateways. By analyzing IP flows in real time, the presented scheme identifies different phases of an HAS session...
This paper presents a mechanism for steering connections to different mobile networks for UAV-based reliable communications. This connection steering mechanism works by selecting the best Radio Signal Strength Indicator (RSSI) quality among the available networks in order to ensure the highest availability. In this work, we developed a test-bed to evaluate the performance of the steering mechanism...
Wireless video surveillance is an important option suitable when it is difficult to have cable Internet and electricity infrastructure, which is the case, for example, for construction yards or vehicles. We present iCam, an open-source Internet-enabled video surveillance project, in which we use mainly discarded camera phones. The mobile application is written mainly in Python on most phone platforms,...
Among the mobile applications contributing to the surging Internet traffic, video applications are some of the biggest contributors. Most of these video applications use HTTP/HTTPS tunneling making it difficult to apply port based or packet data based identification of flows. This makes it challenging for network operators to enforce bandwidth regulation policies for app based service differentiation...
YoMoApp (YouTube Monitoring App) is an Android app to monitor mobile YouTube video streaming on both application- and network-layer. Additionally, it allows to collect subjective Quality of Experience (QoE) feedback of end users. During the development of the app, the stable versions of YoMoApp were already available in the Google Play Store, and the app was downloaded, installed, and used on many...
Video traffic constitutes the majority of traffic in bytes that mobile and fixed line operators deliver to their customer. This type of traffic is both resource consuming and QoE sensitive. Either because of content quality or QoE, a large fraction of users often abandon viewing prematurely. These abandonment phenomena lead to a huge waste of network resources and device batteries. Several strategies...
Broadcasting data to multiple users is widely used in wireless applications. We consider a group of mobile users, within proximity of each other, who are interested in the same video content. Network coded broadcast and cooperative coded communication can improve transmission efficiency and throughput over wireless network separately. In this paper we consider the D2D-assisted wireless network coded...
We jointly optimize Discontinuous Reception (DRX) cycle length and LTE scheduling to minimize mobile devices' energy usage for video delivery, utilising the now well-established potential to predict future channel conditions in cellular networks. Employing in-network caching, we set a strict buffer constraint which provides zero buffer underflow to improve Quality of Experience. Our study provides...
This paper explores the key tradeoffs for the design and optimization of eye-gaze based content provision for video streaming services. The proposed end-to-end solution, called “foveated content provision”, uses real-time information from connected eye-trackers to dynamically deliver optimized video frames, with higher resolution in areas corresponding to the users' fovea while lowering the quality...
Today’s Internet has witnessed an increase in the popularity of mobile video streaming, which is expected to exceed 3/4 of the global mobile data traffic by 2019. To satisfy the considerable amount of mobile video requests, video service providers have been pushing their content delivery infrastructure to edge networks—from regional content delivery network (CDN) servers to peer CDN servers (e.g.,...
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