Evaluation of Video Quality in Wireless Multimedia Sensor Networks

Simulating wireless sensor networks; there implementation and evaluation, require the use of a discrete event simulator. Omnet++ is quite a powerful simulator which supports concise and easy modeling of wired as well as wireless sensors environment. Scenarios involving multimedia transmissions with characteristics of video quality control and evaluation must be computed on the basis of Quality of Experience which relies on user’s perception to maintain the video quality. For the multimedia growth and awareness of future WMSNs, it is quite necessary that the performance should be tested for different types of radio models. So varying the radio parameters may allow for the optimization and improvement of the video quality. In this paper we have provided a test bench for the easy evaluation and optimization of the performance of WMSNs using different radio models. The performance is evaluated based on the QoE metrics; i.e. PSNR(Peak Signal-to-Noise ratio) and MoS(Mean Opinion Score), which depend on user’s perception to maintain the video quality

Revising and Improving the ITU-T Recommendation P.912, Journal of Telecommunications and Information Technology, 2015, nr 1

It was once thought that high Quality of Service (QoS) performance solves recurrent problems of lowquality multimedia services. Since then, solutions have been proposed to ensure a high level of Quality of Experience (QoE). In this paper, the author attempts to outline an understanding of an accurate meaning of multimedia services quality. Starting from QoS and passing through generalized QoE, the author focuses on subjective aspects and objective quality modeling and optimization of visual performance for Target Recognition Video (TRV) applications (such as video surveillance), to outline the ITU-T standardization path in this area. The revising the ITU-T Recommendation P.912 is proposed to reflect improved subjective test techniques developed since this Recommendation was approved. Also at least some existing errors of reasoning are predicted, which are likely to become evident for the industry in the next decade. Finally, the author invites all researchers working on topics related to TRV to join him in the process of improving P.912

JTIT

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