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

美埃合作研究：低成本视频和图像压缩框架

• 批准号: 0211620
• 负责人: Magdy Bayoumi
• 金额: --
• 依托单位: University of Louisiana at Lafayette
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-09-01 至 2006-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0211620&HistoricalAwards=false
• 关键词: US; Egypt; Cooperative; Research; Low

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.

0211620Bayoumi 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 博士和电子研究所计算机工程教授 Samia Mashali 博士的合作项目（ERI），埃及开罗。 他们计划重点开发新的算法、方法和硬件/软件原型，以使用现有的小波编码器基础设施提取压缩域特征。具体来说，这些研究人员将开发算法和技术，用于计算使用 JPEG2000 和 Motion-JPEG2000 压缩标准压缩的图像和视频的纹理和形状属性。所提出的方法的新颖性在于它采用了基于小波的方法而不是标准的 DCT 方法，对文献中受到有限关注的纹理和形状特征的寻址，以及强调硬件解决方案以进一步增强范围：存储压缩的必要性以及有效处理压缩数据的需要导致了对无需解码即可处理数据的压缩域方法的巨大需求。 美国 PI 在 VLSI 信号处理领域享有盛誉，并在小波和其他变换的体系结构方面开展了工作。 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 建立视频压缩实验室，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-埃及联合基金计划的支持，该计划向两国的科学家和工程师提供赠款以开展这些合作活动。