设计了一种基于JPEG2000的人脸图像传输存储技术

Hsiu-Mei Huang, G. You, Fu-Song Syu, S. Liaw
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引用次数: 0

摘要

显示人脸的图片和视频序列在基于内容的检索系统中非常重要。在互联网蓬勃发展的时代,越来越多的人脸图像数据库被存储在互联网上。它们提供了大量可供访问的人脸图像。因此,考虑到存储空间和网络带宽的限制,如何更高效地访问人脸图像成为一个重要的课题。我们的方法的主要目标是在不丢失任何信息的情况下最小化保留关键面部特征所需的比特数。本文提出了一种基于JPEG2000的人脸图像存储与检索新技术。我们结合JPEG2000的有损和无损图像压缩来达到我们的目标。针对人脸图像数据的特点,提取图像中的人脸特征作为最重要的信息。图像无损压缩是为了保留人脸图像的面部特征。背景和图像的其余部分进行有损压缩处理,以进一步节省所需的存储空间。初步结果表明,在视频电话和电话会议等低带宽通信应用中,我们的方法可以在不损失关键面部特征的情况下获得更高的压缩比
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Designing a new storage technique for face images transmission using JPEG2000
Pictures and video sequences showing human faces are of high importance in content-based retrieval systems. During flourishing Internet time, more and more human face image databases are stored on the Internet. They provide a great number of human face images to access. Therefore, considering the storage space and the network bandwidth, how to access human face image more efficiently has become an important topic. The primary goal of our method is to minimize the number of bits required to preserve the crucial facial features without any loss of information. In this paper, we propose a new technique based on JPEG2000 for the storage and retrieval of the human face images. We combine lossy and lossless image compression of JPEG2000 to reach our goal. Aiming at the feature of human face image data, we extract the facial features in the image as the most important information. The lossless image compression is used to retain the facial features of human face image. The background and the rest of the image are processed by lossy compression to further save the required storage space. The preliminary result has shown that our method can have higher compression ratio without loss of the crucial facial feature for low bandwidth communication applications, such as videophone and teleconferencing
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