Algorithms for optimal multiple description codes design

现代通信技术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分组丢失的影响。有效解决这个问题的范例是多描述编码（MDC）。在MDC的基本思想是创建几个描述的信号，这样的源可以被重建到一定的保真度，从每个单独的描述，当更多的描述是可用的，他们可以互相完善，导致更高的保真度reconstruction.The主要目标提出的研究是开发高效的算法设计的最佳多描述码。重点将放在两种方法的MDC：多描述标量量化和不均匀擦除保护可伸缩码流的打包。除了开发新的解决方案（更快和/或更高的精度），以前制定的优化问题，申请人将研究新的MDC框架，并将提出解决方案，从实际关注的新问题提出。拟议的研究将导致新的技术，鲁棒的多媒体传输损耗网络，更有效地利用可用资源的传输速率。这些技术将直接应用于实践。此外，这项研究将带来新的见解，在该地区的MDC设计，从而有助于知识和理解在该地区的进步和奠定背景，为进一步的研究。

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 codes. The emphasis will be on two approaches for MDC: multiple description scalar quantization and uneven erasure protected packetization of scalable codestreams. Beside developing newsolutions (faster and/or of higher accuracy) to previously formulated optimization problems, the applicant will investigate new MDC frameworks and will propose solutions to new problems raised from practical concerns.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 MDC design, thus contributing to the advancement of knowledge and understanding in the area and laying background for further research.