Soft transmission of 3D video for low power and low complexity scenario

Thanks to the rapid development of naked-eye 3D and wireless communication technology, 3D video related applications on mobile devices have attracted a lot of attention. Nevertheless, the time-varying characteristics of the wireless channel is very challenging for conventional source-channel coding...

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Bibliographic Details
Main Authors: Ao Li, Taihai Yang, Wenxin Wu, Lei Luo
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2023-06-01
Series:Digital Communications and Networks
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2352864822000736
Description
Summary:Thanks to the rapid development of naked-eye 3D and wireless communication technology, 3D video related applications on mobile devices have attracted a lot of attention. Nevertheless, the time-varying characteristics of the wireless channel is very challenging for conventional source-channel coding based transmission strategy. Also, the high complexity of source-channel coding based transmission scheme is undesired for low power mobile terminals. An advanced transmission scheme named Softcast was proposed to achieve efficient transmission performance for 2D image/video. Unfortunately, it cannot be directly applied to wireless 3D video transmission with high efficiency. This paper proposes a more efficient soft transmission scheme for 3D video with a graceful quality adaptation within a wide range of channel Signal-to-Noise Ratio (SNR). The proposed method first extends the linear transform to 4 dimensions with additional view dimension to eliminate the view redundancy, and then metadata optimization and chunk interleaving are designed to further improve the transmission performance. Meanwhile, a synthesis distortion based chunk discard strategy is developed to improve the overall 3D video quality under the condition of limited bandwidth. The experimental results demonstrate that the proposed method significantly improves the 3D video transmission performance over the wireless channel for low power and low complexity scenarios.
ISSN:2352-8648