CAREER: Processing of Images and Video for Emerging Communication Media

职业：新兴通信媒体的图像和视频处理

• 批准号: 9985171
• 负责人: Aria Nosratinia
• 金额: $ 20万
• 依托单位: University of Texas at Dallas
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2000
• 资助国家: 美国
• 起止时间: 2000-01-15 至 2003-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9985171&HistoricalAwards=false
• 关键词: CAREER; Processing; Images; Video; Emerging; CAREER; Processing; Images; Video; Emerging

Efficient transmission of visual data over wireless networks is at the heart of many evolving communications applications, ranging from wireless offices to emergency management, telemedicine, and integration of services in smart handheld devices. These applications require unprecedented levels of end-to-end performance on hostile channels, e.g. wireless LAN and ad-hoc wireless networks, and put severe demands on the performance of compression and error control coding.This research is developing advanced coding and signal processing algorithmsfor the transmission of images and video over wireless networks. Theinvestigator is studying two dominant approaches to joint source-channelcoding, namely, with algebraic codes and with multiple-description codes,in order to capture the efficiency of the former and the robustness of thelatter with an integrated approach. Concurrent work in receiver-sidesignal processing is producing algorithms that will enhance the performance underexisting systems and standards.

无线网络上的视觉数据有效传输是许多不断发展的通信应用程序的核心，从无线办公室到紧急情况管理，远程医疗以及智能手持设备中服务的集成。这些应用需要在敌对渠道上的前所未有的端到端性能水平，例如无线LAN和临时无线网络，并对压缩和错误控制编码的性能提出了严重的要求。这项研究正在开发高级编码和信号处理算法，以通过无线网络传输图像和视频。 The Investigator正在研究使用代数代码和多种描述代码的两种主要方法，以捕获前者的效率和综合方法的稳健性。在接收器式处理过程中的同时工作正在生产算法，以增强性能不足的系统和标准。