Algorithms for optimal design of multiple description source codes

多描述优化设计算法源码

• 批准号: 327286-2006
• 负责人: Dumitrescu, Sorina
• 金额: $ 1.6万
• 依托单位: McMaster University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2006
• 资助国家: 加拿大
• 起止时间: 2006-01-01 至 2007-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=338958
• 关键词: Algorithms; optimal; design; multiple; description

The advent of modern communications raises new challenges for multimedia transmission. One of these challenges, encountered in both wired and wireless networks, is the necessity to alleviate the impact of packet loss. A paradigm to effectively solve this problem is multiple description coding (MDC). The basic idea in MDC is to create several descriptions of the signal such that the source can be reconstructed to a certain fidelity from each individual description, and when more descriptions are available, they can refine each other, leading to a higher fidelity reconstruction. The main objective of the proposed research is the development of efficient algorithms for the design of optimal multiple description source codes. The emphasis will be on two approaches for MDC: multiple description scalar quantization and uneven erasure protected packetization of scalable codestreams. Beside developing new solutions (faster and/or of higher accuracy) to previously formulated optimization problems, the applicant will propose innovations to the existing frameworks that offer the promise of higher performance. The proposed research will lead to new techniques for robust multimedia transmission over lossy networks, which more efficiently use the available resources in transmission rate. These techniques will be directly applicable in practice. Additionally, this research will bring new insights in the area of optimal MDC design, thus contributing to the advancement of knowledge and understanding in the area and laying background for further research.

现代通信的出现对多媒体传输提出了新的挑战。在有线和无线网络中遇到的这些挑战之一是必须减轻丢包的影响。有效解决这一问题的一个范例是多描述编码(MDC)。MDC的基本思想是创建信号的几个描述，以便可以从每个单独的描述重建源到一定的保真度，并且当更多的描述可用时，它们可以相互改进，从而产生更高的保真度重建。这项研究的主要目标是开发高效的算法来设计最优多描述源代码。重点讨论了两种多描述编码方法：多描述标量量化和可伸缩码流的非均匀擦除保护分组化。除了为以前制定的优化问题开发新的解决方案(更快和/或更高精度)外，申请人还将对现有框架提出创新，以提供更高的性能承诺。这项研究将为在有损网络上更有效地利用可用资源进行稳健的多媒体传输提供新的技术支持。这些技术将直接应用于实践。此外，这项研究还将为MDC优化设计领域带来新的见解，从而有助于增进该领域的知识和理解，并为进一步的研究奠定基础。