A packetization strategy for interactive multiview video streaming over lossy networks

Zhang, Xue; Zhao, Yao; Tillo, Tammam; Lin, Chunyu

doi:10.1016/j.sigpro.2017.12.016

Cited by 8 publications

(7 citation statements)

References 40 publications

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“…In Baseline 1, view synthesis is adopted at the server but is not adopted at each user [4]. In Baseline 2, view synthesis is adopted at each user but is not adopted at the server [9]. Note that natural multicast opportunities can be utilized by both baseline schemes; Baseline 1 cannot create multicast opportunities based on view synthesis, but can ensure that no more than K views are transmitted; Baseline 2 can create multicast opportunities based on view synthesis, but may transmit more than K views.…”

Section: Numerical Resultsmentioning

confidence: 99%

Optimal Multi-View Video Transmission in OFDMA Systems

Xu¹,

Cui²,

Liu³

et al. 2020

IEEE Commun. Lett.

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In this letter, we study the transmission of a multiview video (MVV) to multiple users in an Orthogonal Frequency Division Multiple Access (OFDMA) system. To maximally improve transmission efficiency, we exploit both natural multicast opportunities and view synthesis-enabled multicast opportunities. First, we establish a communication model for transmission of a MVV to multiple users in an OFDMA system. Then, we formulate the minimization problem of the average weighted sum energy consumption for view transmission and synthesis with respect to view selection and transmission power and subcarrier allocation. The optimization problem is a challenging mixed discrete-continuous optimization problem with huge numbers of variables and constraints. A low-complexity algorithm is proposed to obtain a suboptimal solution. Finally, numerical results further demonstrate the value of view synthesis-enabled multicast opportunities for MVV transmission in OFDMA systems.Index Terms-Multi-view video, multicast, view synthesis, OFDMA, optimization.

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Section: Numerical Resultsmentioning

confidence: 99%

Optimal Multi-View Video Transmission in OFDMA Systems

Xu¹,

Cui²,

Liu³

et al. 2020

IEEE Commun. Lett.

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“…The exit stream is a slow‐moving video; the objects2 is an intermediate‐moving stream, and the ballroom stream is a fast‐moving sequence. The compressed bit streams of the tested 3D sequences are firstly obtained by utilizing the suggested error resilience methods at the encoder side, and then transported over a wireless network with various PLRs of 10%, 20%, 30%, and 40%, which are simulated using the Gilbert channel model . The Gilbert‐Elliott model has been applied in the proposed wireless transmission channel model for packet error process based on the 2‐state Markov model.…”

Section: Simulation Results and Comparative Analysismentioning

confidence: 99%

“…The compressed bit streams of the tested 3D sequences are firstly obtained by utilizing the suggested error resilience methods at the encoder side, and then transported over a wireless network with various PLRs of 10%, 20%, 30%, and 40%, which are simulated using the Gilbert channel model. 35 The Gilbert-Elliott model has been applied in the proposed wireless transmission channel model for packet error process based on the 2-state Markov model. Further discussion details, equations, conditions, assumptions, and parameters for the used wireless network packet loss model are found in Hohlfeld.…”

Section: The Proposed Multihypothesis Error Concealment Techniquesmentioning

confidence: 99%

Proposed dynamic error control techniques for QoS improvement of wireless 3D video transmission

El‐Shafai

El‐Rabaie

El-Halawany

et al. 2018

Int J Communication

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Summary Error control techniques like error resilience (ER) and error concealment (EC) are efficient techniques to ameliorate the lost macroblocks (MBs) in the 3D video (3DV) communication system. In this paper, we propose efficient and adaptive hybrid ER‐EC algorithms for 3DV transmission over error‐prone wireless channels. At the encoder, adaptive preprocessing ER mechanisms are proposed through using the context adaptive variable length coding entropy, slice structured coding modes, and explicit flexible macroblock ordering mapping. They are used to assist the suggested EC techniques at the decoder to accurately reconstruct the erroneous MBs and frames. At the decoder, an efficient postprocessing EC technique with multiproposition methods is proposed to dynamically select the convenient EC hypothesis method based on the size of the lost MBs, the faulty view, and the frame type. It conceals the received erroneous MBs of intra‐encoded and inter‐encoded frames of the transmitted 3DV by exploiting the temporal, spatial, and inter‐view correlations among frames and views. To further improve the decoded 3DV quality, a weighted overlapping block motion and disparity compensation technique is used to reinforce the performance of the suggested ER‐EC techniques. Experimental results on various 3DV streams prove that the suggested techniques have considerably acceptable subjective and objective 3DV performance. They achieve an improved average peak signal‐to‐noise ratio gain by almost 2.85 dB compared to the conventional error control algorithms at a packet loss rate = 40%.

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“…In [18]- [21], the authors consider a wireless MVV transmission system with a single server [18]- [20] or multiple servers [21] and multiple users, where channel fading and broadcast nature of wireless communications are captured. The transmission mechanisms in [18]- [21] make use of natural multicast opportunities to reduce energy consumption.…”

Section: Introductionmentioning

confidence: 99%

Optimal Multi-View Video Transmission in Multiuser Wireless Networks by Exploiting Natural and View Synthesis-Enabled Multicast Opportunities

Cui²,

Liu³

2020

IEEE Trans. Commun.

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Multi-view videos (MVVs) provide immersive viewing experience, at the cost of traffic load increase for wireless networks. In this paper, we would like to optimize MVV transmission in a multiuser wireless network by exploiting both natural multicast opportunities and view synthesis-enabled multicast opportunities. Specifically, we first establish a mathematical model to specify view synthesis at the server and each user, and characterize its impact on multicast opportunities. This model is highly nontrivial and fundamentally enables the optimization of view synthesis-based multicast opportunities. For given video quality requirements of all users, we consider the optimization of view selection, transmission time and power allocation to minimize the average weighted sum energy consumption for view transmission and synthesis. In addition, under the energy consumption constraints at the server and each user respectively, we consider the optimization of view selection, transmission time and power allocation and video quality selection to maximize the total utility. These two optimization problems are challenging mixed discrete-continuous optimization problems. For the first problem, we propose an algorithm to obtain an optimal solution with reduced computational complexity by exploiting optimality properties. For each problem, to reduce computational complexity, we also propose a low-complexity algorithm to obtain a suboptimal solution, using Difference of Convex (DC) programming. Finally, numerical results show the advantage of the proposed solutions over existing ones, and demonstrate the importance of the optimization of view synthesis-enabled multicast opportunities in MVV transmission.Index Terms-Multi-view video, view synthesis, multicast, convex optimization, DC programming.

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A packetization strategy for interactive multiview video streaming over lossy networks

Cited by 8 publications

References 40 publications

Optimal Multi-View Video Transmission in OFDMA Systems

Optimal Multi-View Video Transmission in OFDMA Systems

Proposed dynamic error control techniques for QoS improvement of wireless 3D video transmission

Optimal Multi-View Video Transmission in Multiuser Wireless Networks by Exploiting Natural and View Synthesis-Enabled Multicast Opportunities

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