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With the exponential growth of the mobile video traffic and the dramatic diversity of wireless channels among users, maintaining a tradeoff between resource consumption and perceived experience of users is of overwhelming challenges. Dynamic Adaptive Streaming over HTTP(DASH), as a promising technique to improve the video transmission efficiency, achieves bitrate adaption at users' ends to accommodate...
Data movement to and from off-chip memory dominates energy consumption in most video decoders, with DRAM accesses consuming 2.8x–6x more energy than the processing itself. We present a H.265/HEVC video decoder with embedded DRAM (eDRAM) as main memory. We propose the following techniques to optimize data movement and reduce the power consumption of eDRAM: 1) lossless compression is used to store reference...
A network of drone cameras can be deployed to cover live events, such as high-action sports game played on a large field, but managing networked drone cameras in real-time is challenging. Distributed approaches yield suboptimal solutions from lack of coordination but coordination with a centralized controller incurs round-trip latencies of several hundreds of milliseconds over a wireless channel....
Adaptive streaming improves user-perceived quality by altering the streaming bitrate depending on network conditions, trading reduced video bitrates for reduced stall times. Existing adaptation approaches, e.g., rate-based, buffer-based, either rely heavily on accurate bandwidth prediction or can be overly-conservative about video bitrates. In this work, we propose a reinforcement learning approach...
The increasing number of mobile devices with high processing power and high-resolution screens had led to an enormous growth of mobile video traffic. Mobile network operators face the requirement to efficiently support large numbers of concurrent unicast streaming sessions. In the present work, the long-term quality of experience perceived by the user, the fairness, and the overall system efficiency...
We present a quality-selection policy for Quality of Experience (QoE) demanding video streaming in wireless networks. The proposed policy predicts the TCP throughput and adapts video segment requests in order to assure high QoE by taking into account the client buffer level. We introduce the concept of Affordable delivery Time (AT) and we design a buffer-based algorithm, hereafter referred to as Buffer-based...
We consider the practical problem of video surveillance in public transport systems, where security videos are stored onboard, and a central operator occasionally needs to access portions of the recordings. When this happens, the selected video must be uploaded within a deadline, possibly using multiple parallel wireless interfaces. Interfaces have different associated costs, related to tariffs charged...
Emerging 5G networks will not only offer higher link rates, but also integrate a variety of Radio Access Technologies (RATs) in order to provide ultra-reliable broadband access to a wide range of applications with high throughput and low latency requirements. SDN-enabled dynamic path selection is of critical importance in exploiting the collective transmission resources in such heterogeneous multi-RAT...
One step required several times for current video encoders is the residual coding loop, composed of the direct transformation, direct quantization, inverse quantization, and inverse transformation. These operations demand high throughput and low latency since their outputs must be processed by other steps of the coder. This paper proposes a high-throughput parallel and multiplierless hardware architecture...
The Dynamic Adaptive Streaming over HTTP (DASH) is specified to cope with the changing network conditions and provide an adaptive bit-rate HTTP-based streaming solution. While there have been many researches of rate adaptation algorithms on adaptive HTTP streaming, much of the work is focused on Video on Demand (VoD) service — which is not same as live streaming. It is generally preferred to minimize...
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...
Real-time voice and video streaming applications require a certain Quality of Service (QoS) level for providing user satisfaction. As Wireless Local Area Networks (WLAN's) are not designed for such applications, assessing the communication's QoS level is a challenging task. Sudden Onset Disasters (SODs) poses even a greater challenge as the QoS level must be assessed without generating traffic or...
Video streaming takes the lion's share of network bandwidth, with a trend that will likely increase in the future. In the recent years, dynamic adaptive streaming has been developed to offer a smooth video stream with variable quality, depending on the performance of the network connection. At present, several content providers like Netflix, YouTube and Hulu, to name a few, already offer videos that...
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 amount of video traffic on the Internet has seen a tremendous increase over the past few years. In 2020, it is predicted to account for 85% of the total Internet consumer traffic. Due to this dominant role, streaming traffic has to be considered by workload models used to evaluate the performance of networking systems. A de facto standard technology for Internet-based Video on Demand (VoD) services...
Thanks to the abundant available bandwidth and multiple paths on wide-area links that interconnect datacenters on major cloud platforms, it is conceivable that bandwidth-intensive applications may improve their performance by relaying their traffic through such an inter-datacenter network. We propose Stemflow, a new systems framework that provides Inter-Datacenter Overlay as a Service. It is provided...
Mobile services, especially video streaming, has seen a rapid usage increase in recent years. Base stations (BSs) need to employ smarter and efficient resource allocation strategies to maintain high quality of service (QoS) to users at all the times. Predictive resource allocation (PRA), is one such novel scheme, in which BSs seek to anticipate the user demands and offer service to users in advance...
The growing demand for video streaming is straining the Internet, and mandating a fundamental change in future networking paradigms. Current advancements in Information-centric Networks (ICN) promise a novel approach to intrinsically handling content dissemination, caching and retrieval. While streaming technologies are converging towards Dynamic Adaptive Streaming (DAS), in-network caching in ICN...
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...
HTTP Adaptive Streaming is able to dynamically match video quality to variable network conditions. This is a key feature for multimedia delivery when quality of service cannot be granted network-wide. For instance, the end-to-end throughput towards mobile terminals may suffer short term fluctuations due to fading. Hence, robust bitrate adaptation schemes become crucial in order to avoid degraded video...
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