Impact of adaptation dimensions on video quality

Abstract

Abstract-The number and types of mobile devices which are capable of presenting digital video streams is increasing constantly. In most cases the devices are trade-offs between powerful all-purpose computers and small mobile devices which are ubiquitously available and range from cellular phones to notebooks. This great heterogeneity of mobile devices makes video streaming to such devices a challenging task for content providers. Each single device has its own capabilities and individual requirements, which need to be considered when sending a video stream to it. Thus, to support a great range of different devices, the video streams need to be adapted to the requirements of each device. To get an idea of how different adaptation methods may affect the experience of users watching a streamed video on a mobile device, we inspect the influence of three major adaptation dimensions on the produced quality of the stream. Based on these results, we are able to give a clear recommendation for a multidimensional adaptation of digital video streams.

QoE-aware video streaming for SVC over multiuser MIMO–OFDM systems

“…Existing work can be helpful for designing QoEVA but their limitations are in different aspects. As for (1a), the majority of work either lacks a QoE model [17][18][19] or employs a QoE-agnostic model [20,21]. Some general conclusions have been drawn in [17][18][19] by comparing adapted videos in different scalability combinations but no explicit QoE model has been summarized.…”

“…As for (1a), the majority of work either lacks a QoE model [17][18][19] or employs a QoE-agnostic model [20,21]. Some general conclusions have been drawn in [17][18][19] by comparing adapted videos in different scalability combinations but no explicit QoE model has been summarized. The default video adaptation schemes in Joint Scalable Video Model (JSVM) aim at maintaining a good PSNR for target video but PSNR cannot reflect the true QoE [20,21].…”

Resource allocation and scheduling for scalable video streaming over wireless networks

“…Here, a key concern is how to carry out the rate tailoring, which scalability should be adapted first, such that we can always obtain the best QoE at a given rate. Some earlier attempts have studied this issue but they mostly focused on partial scalability [160,161,162,163,164,165]. A recent work [166] investigated the impacts of spatial, temporal and amplitude resolutions (STAR) on the bit rate of a compressed video.…”