CAREER: Multiresolution-Based Adaptive Image/Video Communications: An Integrated Approach

国家信息基础设施倡议的实施将需要有效地传输和存储大量多媒体流量，特别是图像和视频数据。这个项目为这个具有挑战性的问题提供了一个多学科的攻击，目标是提供一个系统范围的优化解决方案，而不是一个可能不匹配的高效子系统解决方案的集合。它提倡在研究和教育方面整合传统上分别对待的三个工程子领域的相关方面：信号处理、通信和网络。主要的教育目标是帮助培养跨学科专家，并将研究更多地整合到工程教育中。该项目促进了下一代视觉通信系统的算法设计和架构的自适应和集成方法，用于压缩和可靠交付，在噪声时变信道和异构网络上，图像和视频。统一的思路是使用灵活的基于多分辨率的框架进行1)源编码，2)信道编码和3)联合源信道编码，目标是使用快速算法最大化交付的图像/视频质量。在教育方面，主要目标是帮助培养多学科专家，并将研究更多地整合到本科和研究生教育中。

The implementation of the National Information Infrastructure initiative will require the efficient transmission and storage of voluminous amounts of multimedia traffic, particularly image and video data. This project offers a multidisciplinary attack on this challenging problem with the goal of providing a system-wide optimized solution rather than a possibly mismatched collection of efficient subsystem solutions. It advocates an integration, in both research and education, of relevant aspects of three engineering subfields that have been traditionally treated separately: Signal Processing, Communications, and Networks. The primary educational goals are to help develop interdisciplinary specialists, and to integrate research more heavily into engineering education. This project promotes an adaptive and integrated approach to the algorithmic design and architecture of next-generation visual communications systems for the compression and reliable delivery, over noisy time-varying channels and heterogeneous networks, of images and video. A unifying thread is the use of flexible multiresolution-based frameworks for 1) source coding, 2) channel coding and 3) joint source-channel coding, with the goal of maximizing the delivered image/video quality using fast algorithms. In education, the primary goals are to help develop multidisciplinary specialists, and to integrate research more heavily into both undergraduate and graduate education.