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

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.

通过无线网络有效传输可视数据是许多不断发展的通信应用的核心，从无线办公室到应急管理、远程医疗和智能手持设备中的服务集成。这些应用需要在敌对信道（如无线局域网和自组织无线网络）上达到前所未有的端到端性能水平，并对压缩和错误控制编码的性能提出了严格的要求。这项研究正在开发先进的编码和信号处理算法，用于通过无线网络传输图像和视频。研究者正在研究联合源信道编码的两种主要方法，即代数码和多描述码，以便通过集成方法捕获前者的效率和后者的鲁棒性。接收端信号处理的并发工作正在产生算法，这些算法将提高现有系统和标准的性能。