Flexible and Robust Coding of Images and Video

提案# 0104800PI: Eve RiskinU来自华盛顿在不久的将来，将图像和视频下载到手持设备将像今天在网页上观看图像一样普遍。为了实现这一点，需要高质量、灵活和健壮的图像和视频压缩算法。近年来，基于小波分组测试的一种新型小波编码器被开发出来。它提供了与目前可用的最佳压缩编码器具有竞争力的性能，并且随着进一步的开发，GTW可能会大大超过它们。这项研究涉及开发新的算法鲁棒和灵活的编码图像和视频。虽然gtw是一个激励的例子，但该研究适用于许多压缩算法和许多场景。首先，将探讨与GTW相关的一系列问题。这包括将GTW应用于小波包分解和降低复杂性变换；将其扩展到视频和渐进几何压缩的新领域；并为其强劲的表现发展出一套理论。接下来，将研究以渐进方式对压缩数据应用前向纠错的方法。最后，不等帧扩展将用于从丢包中恢复。这项研究将在包括互联网和无线通信在内的许多领域有实际用途，并将包括在一门新的数据压缩本科课程中，由两位主要研究人员共同教授。

Proposal # 0104800PI: Eve RiskinU of WashingtonIn the not-too-distant future, downloading images and video to a handheld device will be as commonplace as viewing an image on a Web page is today. To enable this, high quality, flexible, and robust image and video compression algorithms will be required. Recently, Group Testing for Wavelets (GTW), a new type of wavelet coder based on group testing was developed. It offers competitive performance to the best compression coders available today and with further development, GTW could outperform them significantly.This research involves developing new algorithms for robust and flexible coding of images and video. WhereasGTW is used as a motivating example, the research is applicable to many compression algorithms and in many scenarios. First, a set of problems related to GTW will be explored. This includes applying GTW to wavelet packet decompositions and reduced complexity transforms; extending it to video and the new area of progressive geometry compression; and developing a theory for its strong performance.Next, methods for applying forward error correction to compressed data in a progressive manner will be investigated. Finally, unequal frame expansions will be used to recover from packet loss. The research will have practical use in many arenas including the Internet and wireless communications and will be includedin a new undergraduate course on data compression, to be taught jointly by the two principal investigators.