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利用数据隐藏的无线基于对象的视频通信的联合信源信道编码

Joint source-channel coding for wireless object-based video communications utilizing data hiding.

作者信息

Wang Haohong, Tsaftaris Sotirios A, Katsaggelos Aggelos K

机构信息

Marvell Technology Group, Santa Clara, CA 95054, USA.

出版信息

IEEE Trans Image Process. 2006 Aug;15(8):2158-69. doi: 10.1109/tip.2006.875194.

DOI:10.1109/tip.2006.875194
PMID:16900673
Abstract

In recent years, 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 data hiding scheme that improves the error resilience of object-based video by adaptively embedding the shape and motion information into the texture data. Within a rate-distortion theoretical framework, the source coding, channel coding, data embedding, and decoder error concealment are jointly optimized based on knowledge of the transmission channel conditions. Our goal is to achieve the best video quality as expressed by the minimum total expected distortion. The optimization problem is solved using Lagrangian relaxation and dynamic programming. The performance of the proposed scheme is tested using simulations of a Rayleigh-fading wireless channel, and the algorithm is implemented based on the MPEG-4 verification model. Experimental results indicate that the proposed hybrid source-channel coding scheme significantly outperforms methods without data hiding or unequal error protection.

摘要

近年来,用于多媒体通信的联合信源信道编码越来越受到关注。然而,针对基于对象的视频的联合信源信道编码问题,所开展的工作非常有限。在本文中,我们提出了一种数据隐藏方案,该方案通过将形状和运动信息自适应地嵌入到纹理数据中,提高了基于对象的视频的抗误码能力。在率失真理论框架内,基于传输信道条件的知识,对信源编码、信道编码、数据嵌入和解码器错误隐藏进行联合优化。我们的目标是通过最小化总期望失真来实现最佳视频质量。使用拉格朗日松弛和动态规划来解决优化问题。通过对瑞利衰落无线信道进行仿真来测试所提方案的性能,并基于MPEG-4验证模型实现该算法。实验结果表明,所提的混合信源信道编码方案显著优于无数据隐藏或不等差错保护的方法。

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