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Wenjun Zeng - One of the best experts on this subject based on the ideXlab platform.

  • hybrid digital Analog Video delivery with shannon kotel nikov mapping
    IEEE Transactions on Multimedia, 2018
    Co-Authors: Fei Liang, Chong Luo, Ruiqin Xiong, Wenjun Zeng
    Abstract:

    Hybrid digital–Analog (HDA) transmission is beco-ming an attractive solution for mobile Video delivery because it not only has graceful degradation with channel variations but also yields high power efficiency. However, the heavy bandwidth demand of Analog transmission is still an unsolved problem, limiting the received Video quality when the bandwidth is not sufficient. To address this problem, we propose adopting Shannon–Kotel’nikov (SK) mapping for HDA Video transmission and design an HDA scheme called SK-Cast. SK-Cast consists of a digital and an Analog branch. In the digital branch, SK-Cast compresses the Video sequence using an high efficiency Video coding digital encoder to produce a base layer. The base layer is transmitted through digital methods with strong protection. The residual signals are then decorrelated using three-dimensional discrete cosine transform transform. The SK mapping is exploited to transmit these coefficients, as they can achieve efficient bandwidth compression. We address the resource allocation problems in SK-Cast, including the allocation between digital and Analog branches and the allocation among Analog symbols. The simulation results show that the SK-Cast outperforms the state-of-the-art HDA systems, including WSVC and SharpCast, and a digital scalable Video coding system.

  • progressive pseudo Analog transmission for mobile Video streaming
    IEEE Transactions on Multimedia, 2017
    Co-Authors: Cuiling Lan, Chong Luo, Enhong Chen, Wenjun Zeng
    Abstract:

    We propose a progressive pseudo-Analog Video transmission scheme that simultaneously handles SNR and bandwidth variations with graceful quality degradation for mobile Video streaming. With the inherited SNR-adaptability from pseudo-Analog transmission, the proposed progressive solution acquires bandwidth adaptability through an innovative scheduling algorithm with optimal power allocation. The basic idea is to aggressively transmit or retransmit important coefficients so that distortion is minimized at the receiver after each received packet. We derive the closed-form expression of reduced distortion for each packet under given transmission power and known channel conditions, and show that the optimal solution can be obtained with a water-filling algorithm. We also illustrate through analyses and simulations that a near-optimal solution can be found through approximation when only statistical channel information is available. Simulations show that our solution approaches the performance upper bound of pseudo-Analog transmission in an additive white Gaussian noise channel and significantly outperforms existing pseudo-Analog solutions in a fast Rayleigh fading channel. Trace-driven emulations are also carried out to demonstrate the advantage of the proposed solution over the state-of-the-art digital and pseudo-Analog solutions under a real dramatically varying wireless environment.

  • structure preserving hybrid digital Analog Video delivery in wireless networks
    IEEE Transactions on Multimedia, 2015
    Co-Authors: Chong Luo, Cuiling Lan, Wenjun Zeng
    Abstract:

    Hybrid digital-Analog (HDA) transmission has gained increasing attention recently in the context of wireless Video delivery , for its ability to simultaneously achieve high transmission efficiency and smooth quality adaptation. However, previous systems are optimized solely based on the mean squared error criterion without taking the perceptual Video quality into consideration. In this work, we propose a structure-preserving HDA Video delivery system, named SharpCast, to improve both the objective and subjective visual quality. SharpCast decomposes a Video into a content part and structure part. The latter is important to the human perception and therefore is protected with a robust digital transmission scheme. Then, the energy-intensive part in the content information is extracted and transmitted in digital for energy efficiency while the residual is transmitted in Analog to achieve the desired smooth adaptation. We formulate the resource (power and bandwidth) allocation problem in SharpCast and solve the problem with a greedy strategy. Evaluations over nine standard 720p Video sequences show that the proposed SharpCast system outperforms the state-of-the-art digital, Analog, and HDA schemes by a notable margin in both peak signal-to-noise ratio (PSNR) and structural similarity (SSIM).

Chong Luo - One of the best experts on this subject based on the ideXlab platform.

  • hybrid digital Analog Video delivery with shannon kotel nikov mapping
    IEEE Transactions on Multimedia, 2018
    Co-Authors: Fei Liang, Chong Luo, Ruiqin Xiong, Wenjun Zeng
    Abstract:

    Hybrid digital–Analog (HDA) transmission is beco-ming an attractive solution for mobile Video delivery because it not only has graceful degradation with channel variations but also yields high power efficiency. However, the heavy bandwidth demand of Analog transmission is still an unsolved problem, limiting the received Video quality when the bandwidth is not sufficient. To address this problem, we propose adopting Shannon–Kotel’nikov (SK) mapping for HDA Video transmission and design an HDA scheme called SK-Cast. SK-Cast consists of a digital and an Analog branch. In the digital branch, SK-Cast compresses the Video sequence using an high efficiency Video coding digital encoder to produce a base layer. The base layer is transmitted through digital methods with strong protection. The residual signals are then decorrelated using three-dimensional discrete cosine transform transform. The SK mapping is exploited to transmit these coefficients, as they can achieve efficient bandwidth compression. We address the resource allocation problems in SK-Cast, including the allocation between digital and Analog branches and the allocation among Analog symbols. The simulation results show that the SK-Cast outperforms the state-of-the-art HDA systems, including WSVC and SharpCast, and a digital scalable Video coding system.

  • progressive pseudo Analog transmission for mobile Video streaming
    IEEE Transactions on Multimedia, 2017
    Co-Authors: Cuiling Lan, Chong Luo, Enhong Chen, Wenjun Zeng
    Abstract:

    We propose a progressive pseudo-Analog Video transmission scheme that simultaneously handles SNR and bandwidth variations with graceful quality degradation for mobile Video streaming. With the inherited SNR-adaptability from pseudo-Analog transmission, the proposed progressive solution acquires bandwidth adaptability through an innovative scheduling algorithm with optimal power allocation. The basic idea is to aggressively transmit or retransmit important coefficients so that distortion is minimized at the receiver after each received packet. We derive the closed-form expression of reduced distortion for each packet under given transmission power and known channel conditions, and show that the optimal solution can be obtained with a water-filling algorithm. We also illustrate through analyses and simulations that a near-optimal solution can be found through approximation when only statistical channel information is available. Simulations show that our solution approaches the performance upper bound of pseudo-Analog transmission in an additive white Gaussian noise channel and significantly outperforms existing pseudo-Analog solutions in a fast Rayleigh fading channel. Trace-driven emulations are also carried out to demonstrate the advantage of the proposed solution over the state-of-the-art digital and pseudo-Analog solutions under a real dramatically varying wireless environment.

  • structure preserving hybrid digital Analog Video delivery in wireless networks
    IEEE Transactions on Multimedia, 2015
    Co-Authors: Chong Luo, Cuiling Lan, Wenjun Zeng
    Abstract:

    Hybrid digital-Analog (HDA) transmission has gained increasing attention recently in the context of wireless Video delivery , for its ability to simultaneously achieve high transmission efficiency and smooth quality adaptation. However, previous systems are optimized solely based on the mean squared error criterion without taking the perceptual Video quality into consideration. In this work, we propose a structure-preserving HDA Video delivery system, named SharpCast, to improve both the objective and subjective visual quality. SharpCast decomposes a Video into a content part and structure part. The latter is important to the human perception and therefore is protected with a robust digital transmission scheme. Then, the energy-intensive part in the content information is extracted and transmitted in digital for energy efficiency while the residual is transmitted in Analog to achieve the desired smooth adaptation. We formulate the resource (power and bandwidth) allocation problem in SharpCast and solve the problem with a greedy strategy. Evaluations over nine standard 720p Video sequences show that the proposed SharpCast system outperforms the state-of-the-art digital, Analog, and HDA schemes by a notable margin in both peak signal-to-noise ratio (PSNR) and structural similarity (SSIM).

Qingjiang Shi - One of the best experts on this subject based on the ideXlab platform.

  • human perception oriented pseudo Analog Video transmissions with deep learning
    IEEE Transactions on Vehicular Technology, 2020
    Co-Authors: Xiaowei Tang, Xinlin Huang, Qingjiang Shi
    Abstract:

    Recently, pseudo Analog transmission has gained increasing attentions due to its ability to alleviate the cliff effect in Video multicast scenarios. The existing pseudo Analog systems are optimized under the minimum mean squared error criterion. However, their power allocation strategies do not take the perceptual Video quality into consideration. In this article, we propose a human-perception-based pseudo Analog Video transmission system named ROIC-Cast, which aims to intelligently enhance the transmission quality of the region-of-interest (ROI) parts. Firstly, the classic deep learning based saliency detection algorithm is adopted to decompose the continuous Video sequences into ROI and non-ROI blocks. Secondly, an effective compression method is used to reduce the data amount of side information generated by the ROI extraction module. Then, the power allocation scheme is formulated as a convex problem, and the optimal transmission power for both ROI and non-ROI blocks is derived in a closed form. Finally, the simulations are conducted to validate the proposed system by comparing with a few of existing systems, e.g., KMV-Cast, SoftCast, and DAC-RAN. The proposed ROIC-Cast can achieve over 4.1 dB peak signal-to-noise ratio gains of ROI compared with other systems, given the channel signal-to-noise ratio as −5 dB, 0 dB, 5 dB, and 10 dB, respectively. This significant performance improvement is due to the automatic ROI extraction, high-efficiency data compression as well as adaptive power allocation.

Cuiling Lan - One of the best experts on this subject based on the ideXlab platform.

  • progressive pseudo Analog transmission for mobile Video streaming
    IEEE Transactions on Multimedia, 2017
    Co-Authors: Cuiling Lan, Chong Luo, Enhong Chen, Wenjun Zeng
    Abstract:

    We propose a progressive pseudo-Analog Video transmission scheme that simultaneously handles SNR and bandwidth variations with graceful quality degradation for mobile Video streaming. With the inherited SNR-adaptability from pseudo-Analog transmission, the proposed progressive solution acquires bandwidth adaptability through an innovative scheduling algorithm with optimal power allocation. The basic idea is to aggressively transmit or retransmit important coefficients so that distortion is minimized at the receiver after each received packet. We derive the closed-form expression of reduced distortion for each packet under given transmission power and known channel conditions, and show that the optimal solution can be obtained with a water-filling algorithm. We also illustrate through analyses and simulations that a near-optimal solution can be found through approximation when only statistical channel information is available. Simulations show that our solution approaches the performance upper bound of pseudo-Analog transmission in an additive white Gaussian noise channel and significantly outperforms existing pseudo-Analog solutions in a fast Rayleigh fading channel. Trace-driven emulations are also carried out to demonstrate the advantage of the proposed solution over the state-of-the-art digital and pseudo-Analog solutions under a real dramatically varying wireless environment.

  • structure preserving hybrid digital Analog Video delivery in wireless networks
    IEEE Transactions on Multimedia, 2015
    Co-Authors: Chong Luo, Cuiling Lan, Wenjun Zeng
    Abstract:

    Hybrid digital-Analog (HDA) transmission has gained increasing attention recently in the context of wireless Video delivery , for its ability to simultaneously achieve high transmission efficiency and smooth quality adaptation. However, previous systems are optimized solely based on the mean squared error criterion without taking the perceptual Video quality into consideration. In this work, we propose a structure-preserving HDA Video delivery system, named SharpCast, to improve both the objective and subjective visual quality. SharpCast decomposes a Video into a content part and structure part. The latter is important to the human perception and therefore is protected with a robust digital transmission scheme. Then, the energy-intensive part in the content information is extracted and transmitted in digital for energy efficiency while the residual is transmitted in Analog to achieve the desired smooth adaptation. We formulate the resource (power and bandwidth) allocation problem in SharpCast and solve the problem with a greedy strategy. Evaluations over nine standard 720p Video sequences show that the proposed SharpCast system outperforms the state-of-the-art digital, Analog, and HDA schemes by a notable margin in both peak signal-to-noise ratio (PSNR) and structural similarity (SSIM).

Xiaowei Tang - One of the best experts on this subject based on the ideXlab platform.

  • human perception oriented pseudo Analog Video transmissions with deep learning
    IEEE Transactions on Vehicular Technology, 2020
    Co-Authors: Xiaowei Tang, Xinlin Huang, Qingjiang Shi
    Abstract:

    Recently, pseudo Analog transmission has gained increasing attentions due to its ability to alleviate the cliff effect in Video multicast scenarios. The existing pseudo Analog systems are optimized under the minimum mean squared error criterion. However, their power allocation strategies do not take the perceptual Video quality into consideration. In this article, we propose a human-perception-based pseudo Analog Video transmission system named ROIC-Cast, which aims to intelligently enhance the transmission quality of the region-of-interest (ROI) parts. Firstly, the classic deep learning based saliency detection algorithm is adopted to decompose the continuous Video sequences into ROI and non-ROI blocks. Secondly, an effective compression method is used to reduce the data amount of side information generated by the ROI extraction module. Then, the power allocation scheme is formulated as a convex problem, and the optimal transmission power for both ROI and non-ROI blocks is derived in a closed form. Finally, the simulations are conducted to validate the proposed system by comparing with a few of existing systems, e.g., KMV-Cast, SoftCast, and DAC-RAN. The proposed ROIC-Cast can achieve over 4.1 dB peak signal-to-noise ratio gains of ROI compared with other systems, given the channel signal-to-noise ratio as −5 dB, 0 dB, 5 dB, and 10 dB, respectively. This significant performance improvement is due to the automatic ROI extraction, high-efficiency data compression as well as adaptive power allocation.