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Cost-distortion optimized unequal error protection for object-based video communications

机译:成本失真优化的基于对象的视频通信的不均等错误保护

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摘要

Object-based video coding is a relatively new technique to meet the fast growing demand for interactive multimedia applications. Compared with conventional frame-based video coding, it consists of two types of source data: shape information and texture information. Recently, joint source-channel coding for multimedia communications has gained increased popularity. However, very limited work has been conducted to address the problem of joint source-channel coding for object-based video. In this paper, we propose a cost-distortion optimal unequal error protection (UEP) scheme for object-based video communications. Our goal is to achieve the best video quality (minimum total expected distortion) with constraints on transmission cost and delay in a lossy network environment. The problem is solved using Lagrangian relaxation and dynamic programming. The performance of the proposed scheme is tested using simulations of a narrow-band block-fading wireless channel with additive white Gaussian noise and a simplified differentiated services Internet channel. Experimental results indicate that the proposed UEP scheme can significantly outperform equal error protection methods.
机译:基于对象的视频编码是一种相对较新的技术,可以满足对交互式多媒体应用的快速增长的需求。与传统的基于帧的视频编码相比,它包含两种类型的源数据:形状信息和纹理信息。近来,用于多媒体通信的联合源信道编码已经越来越流行。然而,已经进行了非常有限的工作来解决基于对象的视频的联合源信道编码的问题。在本文中,我们提出了一种基于对象的视频通信的成本失真最优不等差错保护(UEP)方案。我们的目标是实现最佳视频质量(最小总预期失真),同时限制传输成本和有损网络环境中的延迟。使用拉格朗日松弛和动态规划解决了该问题。使用具有加性高斯白噪声和简化的差分服务Internet信道的窄带块衰落无线信道的仿真,测试了所提出方案的性能。实验结果表明,提出的UEP方案可以明显优于同等的错误保护方法。

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