QoE-aware optimization for video delivery and storage

Abstract

QoE-aware optimization for video delivery and storage. In: 2015 IEEE 16th International Symposium on "A World of Wireless, Mobile and MultimediaNetworks" (WoWMoM) 2015 (pp. 1-10 Abstract-The explosive growth of Over-the-top (OTT) online video strains capacity of operators' networks, which severely threatens video quality perceived by end users. Since video is very bandwidth consuming, its distribution costs are becoming too high to scale with network investments that are required to support the increasing bandwidth demand. Content providers and operators are searching for solutions to reduce this video traffic load, without degrading their customers' perceived Quality of Experience (QoE). This paper proposes a method that can programmatically optimize video content for desired QoE according to perceptual video quality and device display properties, while achieving bandwidth and storage savings for content providers, operators, and end users. The preliminary results obtained with Samsung Galaxy S3 phone show that up to 60% savings can be achieved by optimizing movies without compromising the perceptible video quality, and up to 70% for perceptible, but not annoying video quality difference. Tailoring video optimization to individual user perception can provide seamless QoE delivery across all users, with a low overhead (i.e., 10%) required to achieve this goal. Finally, two applications of video optimization: QoE-aware delivery and storage, are proposed and examined.

Video-on-demand QoE Evaluation Across Different Age- Groups and Its Significance for Network Capacity

“…We now look at the possible consequences of this requirement to lower PLP on the dimensioning of network capacity, an issue of growing importance as the "… explosive growth of Over-the-top (OTT) online video strains capacity of operators' networks, which severely threatens video quality perceived by end users. ", [17]. We choose to focus here on network capacity dimensioning not because it is the only way in which these results are of significance, but because network capacity dimensioning is possibly the fundamental network engineering challenge (and has been since the work of A.K.Erlang).…”

QoE-Aware Sustainable Throughput for Energy-Efficient Video Streaming

“…Reference [14] suggests to adapt the video resolution to mobile device capabilities in a QoE-aware manner, yielding considerable savings in file sizes.…”

“…through adaptations of coding, resolutions and data rates [13], [14] is preferable to being exposed to the PDH delivery branch with its mainly uncontrollable sidekicks on QoE.…”

Towards QoE-aware adaptive video streaming

“…The video optimization composes a video of short segments, whose resolution is downscaled from the maximum device supported to the resolution determined by desired perceptual video quality, thus reducing the video size without compromising a viewer's QoE. Due to the limited space, we refer to video optimization in [3] that contains thorough descriptions and investigations of this method.…”

“…Streaming was executed in Google Chrome browser on the same machine, while video chunks and the streamer resided on the server machine that was in the same LAN as the client. Details about video encodings, access channels, and video quality measurements are described in [3]. Figure 2 shows bandwidth savings and p M AX obtained with QoE-aware streaming of three 4 minute long videos optimized for different target qualities for Samsung Galaxy S3 phone and DASH streaming of these videos encoded in 4 resolutions (720p,480p,360p,240p) over the same data rates.…”