Abstract
Wireless multimedia communication facilitates the way we communicate and work. Multimedia communication has greatly changed the approach of modern world communication, especially during the peak period of coronavirus pandemic, where patterns of official meetings, business transactions and medical services shifted toward virtual approach using multimedia applications such as video conference, Skype, zoom applications and Video on Demand for personalized media consumption. Multimedia communication demands large chuck of scarced network resources to meet users’ quality performance compared to audio communication. This paper assesses the effect of motion intensity on perceived quality of multimedia communication. System simulations performed with the four different ITU-T reference sequences standard test multimedia sequences of various motion intensity characteristics shows that the perceived quality multimedia test sequences decreases with increase in motion intensity level of test multimedia samples under constraint network condition. Approximately, Akiyo test sample with significant low motion intensity recorded average Mean Opinion Score (MOS) value of 4.16 compared with 3.11 and 3.02 MOS values obtained for test samples with relative high motion intensity characteristics.
Highlights
The trend in modern communication system is shifting towards wireless multimedia communication due to mobility, portability and affordability of smartphones
Modern multimedia communication quality assessment methods have delved deeper into a broader concept by considering the end-to-end metric known as Quality of Experience (QoE)
In order to validate the effect of motion intensity on perceived multimedia communication services, it is essential to measure the perceived multimedia quality transmitted over wireless channel
Summary
The trend in modern communication system is shifting towards wireless multimedia communication due to mobility, portability and affordability of smartphones. Other factors affecting perceived multimedia communication services that have been discussed extensively in literature include multimedia bitrates adaptation, the wireless channel, network characteristics, systems capability and processing power [3]. Researchers have investigated factors and presented different solutions toward enhancement of multimedia communication services in the literature [4] Modern multimedia communication quality assessment methods have delved deeper into a broader concept by considering the end-to-end metric known as Quality of Experience (QoE) This metric considers source quality, encoding quality, network performance, decoding loss, error correction performance and representation quality. The research on perceived quality of multimedia communication relies on the QoE assessment methodology, which models and measures reconstructed multimedia quality from the perspective of both users and providers.
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