Perceptual service-level QoE and network-level QoS control model for mobile video transmission

Mina, Mani

doi:10.1007/s11235-021-00777-y

Cited by 4 publications

(1 citation statement)

References 29 publications

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“…According to their findings, both the PSNR as well as subjective evaluation of videos created using their approach has been significantly improved. Malekzadeh [28], a two-stage approach for mobile video-transmission has been presented, consisting of video-related-settings (VRS) as well as network-related-settings (NRS). The researcher employed H.2.64, MPEG-4, H.265, VP9 and VP8, five different transcoding methods, to evaluate the importance of the lines of transmission and transcoding methods for high-quality video transmission with respect to quality of service and quality of experience.…”

Section: Literature Surveymentioning

confidence: 99%

Video perception enhancement using effective encoding optimization in future generation wireless network

Thulajanaik,

Manjanaik

2023

IJEECS

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<span>The cumulative effects of network transmission link imperfections and real-time limitations of video data result in multiple challenges for video transmission in massive millimeter wave (mmwave) network. The challenges, together with the increasing expectations of users for good-quality videos, further extend the complexity particularly in dense areas. To address the issues this work proposes perceptual quality aware video encoding (PQAVE) scheme in two phases: in phase 1 an effective perceptual quality encoding method leveraging low-rank approximation to reduce overall video size is done. In phase 2, a novel bitstream optimization technique is introduced to improve perceptual quality of videos. Experiment are conducted using standard video dataset show the proposed PQAVE model attain better bit error rate (BER), symbol error rate (SER), error vector magnitude (EVM), and coding gain in comparison with existing perceptual video encoding scheme.</span>

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Section: Literature Surveymentioning

confidence: 99%

Video perception enhancement using effective encoding optimization in future generation wireless network

Thulajanaik,

Manjanaik

2023

IJEECS

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Temporal-Spatial Power Spectrum and Sensitivity Measure for Visual Perception Considering Video Dynamics

Thulajanaik,

Manjanaik

2023

2023 International Conference on Integrated Intelligence and Communication Systems (ICIICS)

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Impact of Wireless Network Packet Loss on Real-Time Video Streaming Application: A Comparative Study of H.265 and H.266 Codecs

Abdullah,

Abdulrahman,

Mohammed

et al. 2024

KJAR

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The transmission of real-time videos over wireless networks is prone to the negative consequences of packet loss and delay, which can have a potential effect on the video quality during streaming. These impairments can lead to interruptions, buffering, and degradation of visual and auditory elements, resulting in an unsatisfactory user experience. In this paper, we aim to address the challenges associated with packet loss and delay parameters in wireless networks, and propose an approach to alleviate their impact on real-time video transmission. The proposed approach involves utilizing the H.265/H.266 video coding standards. For Versatile Video Coding (VVC), a patch support for VVdeC and VVenC to FFmpeg (Fast Forward Moving Picture Expert Group) is added. As a result, FFmpeg is used to encode, stream and decode all videos. Raw videos of 2K qualities are encoded based on the adaptive quantization (QP) for the above-mentioned codecs. By selecting optimal transmission data based on various network conditions, this approach enhances the Quality of Experience (QoE) for end-users while minimizing resource usage in the wireless network. Furthermore, the proposed approach selects the codec standards according to their bitrates and frame rates. Simulation results indicate that the proposed approach has a significant improvement for real-time video streaming over wireless networks to satisfy the end user experience. The approach also outperforms other related work by gaining a PSNR of +12 dB for H.265 and +13 dB for H.266 when the network packet loss is 1%.

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Perceptual service-level QoE and network-level QoS control model for mobile video transmission

Cited by 4 publications

References 29 publications

Video perception enhancement using effective encoding optimization in future generation wireless network

Video perception enhancement using effective encoding optimization in future generation wireless network

Temporal-Spatial Power Spectrum and Sensitivity Measure for Visual Perception Considering Video Dynamics

Impact of Wireless Network Packet Loss on Real-Time Video Streaming Application: A Comparative Study of H.265 and H.266 Codecs

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