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Broadband network performance is multi-faceted: it varies by ISP, by content source, by household connection, and by time-of-day. Daily or monthly averages, as published by content providers such as Netflix and Google, do not convey the full picture. In this paper we leverage M-Lab, the world's largest open measurement platform, to characterize broadband performance across Australian households. Our...
Playlist generation is an important part of online streaming media platforms. Different methods rely on different information to generate playlists. Approaches trained exclusively on previous playlists (interaction data) are content independent, thus they can work with playlists containing different content types. The data types, playlist generation methods and evaluation approaches are described...
With the popularity of the HTTP video streaming in mobile networks, the network operators are increasingly interested in the performance of the video streaming at the client-side. However, unlike content providers, network operators are not privy to the client-side or server-side, thus they have no good access to estimating the performance from the video state at the client-side. To address this limitation,...
HTTP ABR Video Streaming based methods are being used by certain media players and video servers. With this, video is encoded with different data rates, stored on a content server (if possible) and streamed to different client devices. Media player at client device considers various performance factors and decides the rate that it should ask for the next video segment. There are different types of...
In recent years there has been an exponential increase in the growth in multimedia applications, and in particular in video applications. Understanding the behavior of the video traffic and the requirements for the network helps network administrators to improve the traffic. In this work, a quantitative analysis is performed by experimentation, in order to evaluate the behavior and impact of video...
The main goal of this paper is to find the relationship between video content complexity and the objective quality, further to compare H.265/HEVC, H.264/AVC, and VP9 encoders in three modes based on complexity of the video content. There are three evaluation metrics: Peak Signal to Noise Ratio (PSNR), structural similarity (SSIM), and encoding time, which were introduced to compare the three video...
The knowledge of a future throughput value for a user equipment (UE) in Long Term Evolution (LTE) or any other transmission technology is very valuable. It can be used in rate adaptation algorithms so that radio channel congestions may be mitigated thus allowing for better quality of experience of the wireless user. Such control usually would happen at the application layer so that the control loops...
To understand better what happens when video streaming takes place, this paper introduces a framework to simulate a real-time video streaming over wireless channels. The system is divided into many modules and is simulated with different tools. DUMMYNET is used for the network simulator while FFMPEG is for coder/encoder and sender/receiver module. The video quality is measured by spatial (SSIM and...
Mobile WiFi devices are becoming increasingly popular in non-seamless and user-controlled mobile traffic offloading alongside the standard WiFi hotspots. Unlike the operator-controlled hotspots, a mobile WiFi device relies on the capacity of the macro-cell for the data rate allocated to it. This type of devices can help offloading data traffic from the macro-cell base station and serve the end users...
This work aims to evaluate a methodology for planning communications systems on indoor environments. Measurement campaigns were carried out in order to collect data on some QoE (Quality of Experience) metrics, namely, PSNR (Peak Signal-to-Noise Ratio), VQM (Video Quality Metric) and SSIM (Structural Similarity Index). The methodology relates these metrics values to the distance from the AP (Access...
The part of modern research is closely connected with stereo technologies. In some cases people need working with complex objects difficult for visual perception. In such cases we need to create the special augmented reality adapted for stereo data. Among the different problems we face is an unfocused stereo data. The goal of the work is a special algorithm for sharpness tracking which can be applied...
Content-Centric Networking (CCN) is a promising architectural approach that focuses on the efficient distribution of uniquely named data objects. A piece of content is represented by a single object in the network and is divided into multiple chunks which can be uniquely named and cached by network nodes. However, in its current form, the potential of CCN is not fully exploited due to the lack of...
Today's centralized cloud-computing infrastructures have not been designed with geo-localized, personalized, bandwidth/processing-intensive, real-time applications in mind. High network delay and low throughput can have a significant impact on the user experience. Instead, such services could be deployed in distributed service nodes at the edge of the network, closer to the user. In this paper we...
MPEG-DASH has become one of the mainstream methods for streaming video over un-managed networks, as it enables users to receive this video at the best possible QoE level the network capacity and the users' terminals capabilities allow. However, it has been observed that when MPEG-DASH users, sharing the same access network, request, in parallel, the offered video content, QoE unfairness occurs: some...
This paper presents bitstream-based features for perceptual quality estimation of HEVC coded videos. Various factors including the impact of different sizes of block-partitions, use of reference-frames, the relative amount of various prediction modes, statistics of motion vectors and quantization parameters are taken into consideration for producing 52 features relevant for perceptual quality prediction...
This paper provides a brief overview and a vision for introducing a Quality of Experience (QoE) function for on-demand services or for premium users, based-on Software-Defined Networking (SDN). The proposed “QoE-service” can take advantage of the SDN global resource view and complementary QoE metrics to assure the desired performance for OTT applications by adopting traffic management mechanisms....
Monitoring and controlling the user's perceived quality, in modern video services is a challenging proposition, mainly due to the limitations of current Image Quality Assessment (IQA) algorithms. Subjective Quality of Experience (QoE) is widely used to get a right impression, but unfortunately this can not be used in real world scenarios. In general, objective QoE algorithms represent a good substitution...
HTTP Adaptive Streaming (HAS) is becoming the de-facto standard for video streaming services over the Internet. In HAS, each video is segmented and stored in different qualities. Rate adaptation heuristics, deployed at the client, allow the most appropriate quality level to be dynamically requested, based on the current network conditions. Current heuristics under-perform when sudden bandwidth drops...
Predicting performance metrics for cloud services is critical for real-time service assurance. We demonstrate a platform for estimating real-time service-level metrics. Statistical learning methods on device statistics are used to predict metrics for services running on these devices.
While real-time service assurance is critical for emerging telecom cloud services, understanding and predicting performance metrics for such services is hard. In this paper, we pursue an approach based upon statistical learning whereby the behavior of the target system is learned from observations. We use methods that learn from device statistics and predict metrics for services running on these devices...
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