US-Egypt Cooperative Research: A Low Cost Video and Image Compression Framework

描述：该奖项旨在支持路易斯安那州拉斐特路易斯安那大学高级计算机研究中心（CAS）主任Magdy Bayoumi博士和埃及开罗电子研究所（ERI）计算机工程教授Samia Mashali博士的合作项目。他们计划利用现有的小波编码器基础结构开发新的算法、方法和压缩域特征提取的硬件/软件原型。具体来说，这些研究人员将开发算法和技术，用于从使用JPEG2000和运动-JPEG2000压缩标准压缩的图像和视频中计算纹理和形状属性。该方法的新颖之处在于它采用了一种基于小波的方法，而不是标准的DCT方法，对文献中关注有限的纹理和形状特征进行了寻址，并强调了硬件解决方案，以进一步增强压缩域技术实现的计算和内存减少。范围：压缩存储的必要性加上有效处理压缩数据的需要，导致了对压缩域方法的巨大需求，其中数据可以在不解码的情况下进行处理。美国PI在超大规模集成电路信号处理领域非常有名，并在架构小波和其他变换方面做了很多工作。他和他的学生演示了如何提取小波压缩图像的文本特征。该项目将包括对路易斯安那大学和ERI的学生进行培训。它将帮助ERI开发一个视频压缩实验室，该实验室将使埃及和中东其他国家的工业部门受益。该项目得到了美国-埃及联合基金项目的支持，该项目向两国的科学家和工程师提供赠款，以开展这些合作活动。

0211620BayoumiDescription: This award is to support a collaborative project by Dr. Magdy Bayoumi, Director, The Center for Advanced Computer Studies (CAS) at University of Louisiana, Lafayette, Louisiana and Dr. Samia Mashali, Professor of Computer Engineering at the Electronics Research Institute (ERI), Cairo, Egypt. They plan to focus on the development of novel algorithms, methods, and a hardware/software prototype for compressed-domain feature extraction using an existing wavelet coder infrastructure. Specifically, these investigators will develop algorithms and techniques for calculating texture and shape attributes from images and videos compressed with the JPEG2000 and motion-JPEG2000 compression standards. The novelty of the proposed method lies in its employment of a wavelet-based approach as opposed to the standard DCT methods, the addressing of texture and shape features which have received limited attention in the literature, and the emphasis on hardware solutions to further enhance the computation and memory reductions achieved with compressed-domain techniques.Scope: The necessity of compression for storage coupled with the need to efficiently process thecompacted data has led to a great need for compressed-domain methods in which data can be processed without decoding. The U.S. PI is well known in the area of VLSI Signal processing and has done work in architectures wavelet and other transforms. He and his students have demonstrated how to extract textual features for wavelet-compressed images. The project will involve training of students at the University of Louisiana and ERI. It will help ERI develop a video compression laboratory that will benefit industrial sectors in Egypt and other countries in the Middle East. This project is being supported under the US-Egypt Joint Fund Program, which provides grants to scientists and engineers in both countries to carry out these cooperative activities.