Bitrate Reduction for Omnidirectional Video Streaming: Comparing Variable Quantization Parameter and Variable Resolution Approaches

Ribezzo, Giuseppe; Cicco, Luca De; Palmisano, Vittorio; Mascolo, Saverio

doi:10.1109/medcomnet52149.2021.9501278

Cited by 1 publication

(2 citation statements)

References 16 publications

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“…Finally, the used approaches; caching, computing, and networking technolo- The comparison of test results showed that the proposed methods have the mismatching between the visual quality and bitrate reduction using the video multimethod assessment fusion (VMAF) metric. 35 Many researches have been done for QoE user experience based on tuning QoS parameters. However, very few researches conducted based on the variation of QP for the video coding standards to enhance the QoE and satisfy the user requirements.…”

Section: Literature Reviewmentioning

confidence: 99%

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

Taha

Ali

2023

Concurrency and Computation

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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.

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Section: Literature Reviewmentioning

confidence: 99%

“…The 360° video is encoded in portions to solve the issue of reducing bandwidth requirements using high quantization parameter. The comparison of test results showed that the proposed methods have the mismatching between the visual quality and bitrate reduction using the video multimethod assessment fusion (VMAF) metric 35 …”

Section: Literature Reviewmentioning

confidence: 99%

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

Taha

Ali

2023

Concurrency and Computation

View full text Add to dashboard Cite

show abstract

Bitrate Reduction for Omnidirectional Video Streaming: Comparing Variable Quantization Parameter and Variable Resolution Approaches

Cited by 1 publication

References 16 publications

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

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

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