Smart algorithm in wireless networks for video streaming based on adaptive quantization

Abstract

Summary Nowadays, smart multimedia network services have become crucial in the healthcare system. The network parameters of Quality of Service (QoS) are widely affecting the efficiency and accuracy of multimedia streaming in wireless environments. This paper proposes an adaptation framework model, which makes a relation between the QP (quantization parameter) in H.264 and H.265 codecs and the QoS of 5G wireless technology. Besides, the effect of QP and packet loss have been studied because of their impact on video streaming. Packet loss of 5G wireless network characteristic is emulated to determine the impact of QP on the received video quality using objective and subjective quality metrics such as PSNR (peak signal to noise ratio), SSIM (structure similarity), and DMOS (differential mean opinion score). In this research, a Testbed is implemented to stream the encoded video from the server to the end users. The application model framework has automatically evaluated the QoE (Quality of Experience). Accordingly, the model detects the defect of network packet loss and selects the optimum QP value to enhance the QoE by the end‐users. The application has been tested on low and high video motions with full high definition (HD) resolution (1920 × 1080) which were taken from ( https://www.xiph.org/downloads/). Test results based on the objective and subjective quality measurements indicate that an optimal QP = 35 and QP = 30 have been chosen for low and high motion respectively to satisfy user QoE requirements.

Efficient hybrid enhanced genetic algorithm and ant colony system model for rerouting multimedia message in multiple node–link failures within wireless network

“…The main objective of this arrangement is that each MANET is a dedicated network to handle a kind of processing that is different from the processing in other MANETs. For details of such wireless network packet streaming, refer to Taha and Ali 26 . During the processing activities, a workstation was discovered to be down and at the same time causing the virtual link that will carry the packet to other workstations for the next processing phase to be down.…”

“…For details of such wireless network packet streaming, refer to Taha and Ali. 26 During the processing activities, a workstation was discovered to be down and at the same time causing the virtual link that will carry the packet to other workstations for the next processing phase to be down. To resolve the failure, an alternative path must be generated to transmit the multimedia packet for processing to continue.…”

Binocular Rivalry Impact on Macroblock-Loss Error Concealment for Stereoscopic 3D Video Transmission

“…Due to its immense demand in commercial applications, 3D video transmission has drawn a growing amount of research interest in recent years. A greater emphasis has been made on evaluating and minimizing the consequences of methodologies for 3D image or video capture, processing, rendering, and display in an effort to enhance quality of experience (QoE) [ 1 , 2 ]. Nonetheless, the impacts of artifacts introduced into a 3D video by its transmission method have received less attention than those in a 2D video [ 3 ], despite the fact that they affect the overall visual quality in a comparable manner.…”

“…This system forecasts quality of experience (QoE) requirements and then maintains end-user video quality by delivering optimal services in accordance with the prediction. An adaptive model was presented in the research [ 2 ] in order to establish a link between the quantization parameter (QP) of the H.264 and H.265 codecs and the quality of service (QoS) of 5G wireless technology. Nevertheless, because of the limitations, the model that is presented in [ 2 ] is unable to allow the development of subsequent generations of codecs.…”

“…An adaptive model was presented in the research [ 2 ] in order to establish a link between the quantization parameter (QP) of the H.264 and H.265 codecs and the quality of service (QoS) of 5G wireless technology. Nevertheless, because of the limitations, the model that is presented in [ 2 ] is unable to allow the development of subsequent generations of codecs. In addition, the consumption of resources (CPU and memory) increases as the complexity of the network topology rises.…”