%0 Journal Article
%T Multi-Resolution Multimedia QoE Models for IPTV Applications
%A Prasad Calyam
%A Prashanth Chandrasekaran
%A Gregg Trueb
%A Nathan Howes
%A Rajiv Ramnath
%A Delei Yu
%A Ying Liu
%A Lixia Xiong
%A Daoyan Yang
%J International Journal of Digital Multimedia Broadcasting
%D 2012
%I Hindawi Publishing Corporation
%R 10.1155/2012/904072
%X Internet television (IPTV) is rapidly gaining popularity and is being widely deployed in content delivery networks on the Internet. In order to proactively deliver optimum user quality of experience (QoE) for IPTV, service providers need to identify network bottlenecks in real time. In this paper, we develop psycho-acoustic-visual models that can predict user QoE of multimedia applications in real time based on online network status measurements. Our models are neural network based and cater to multi-resolution IPTV applications that include QCIF, QVGA, SD, and HD resolutions encoded using popular audio and video codec combinations. On the network side, our models account for jitter and loss levels, as well as router queuing disciplines: packet-ordered and time-ordered FIFO. We evaluate the performance of our multi-resolution multimedia QoE models in terms of prediction characteristics, accuracy, speed, and consistency. Our evaluation results demonstrate that the models are pertinent for real-time QoE monitoring and resource adaptation in IPTV content delivery networks. 1. Introduction Internet television (IPTV) is rapidly gaining popularity and is expected to reach over 50 million households in the next two years [1]. The key drivers of IPTV deployment are its cost-savings when offered with VoIP and Internet service bundles, increased accessibility by a variety of mobile devices, and compatibility with modern content distribution channels such as social networks and online movie rentals. In spite of the best-effort quality of service (QoS) of the Internet, IPTV service providers have yet to deliver the same or better user quality of experience (QoE) than traditional TV technology. Consequently, they need to understand and balance the trade-offs involved with various factors that affect IPTV deployment (shown in Figure 1). The primary factors are: user (video content, display device), application (codec type, encoding bit rate), and network (network health, router queuing discipline) factors. Figure 1: IPTV system components. User factors relate to the temporal and spatial activity level of the video content. For example, a news clip has low activity level, whereas a sports clip has high activity level. Also, based on mobility and user-context considerations, the display device could support a subset of video resolutions such as quarter common intermediate format (QCIF), quarter video graphics array (QVGA), standard definition (SD), or high definition (HD). Typically QCIF and QVGA with video resolutions of 176 กม 144 and 320 กม 240, respectively, are
%U http://www.hindawi.com/journals/ijdmb/2012/904072/