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Network-conscious GIF image transmission over the Internet

机译:通过Internet进行网络感知的GIF图像传输

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摘要

Traditional image compression techniques seek the smallest possible file size for a given level of image quality. By contrast, network-conscious image compression techniques take into account the fact that a compressed image will be transmitted over a packet-switched network that may lose and reorder packets. We describe GIFNCa, a network-conscious revision of the popular GIF89a standard. As with GIF89a, GIFNCa compresses an image using LZW encoding, however GIFNCa does so using an Application Level Framing approach. The data is segmented into path MTU-size data units, each of which can be independently decompressed and displayed on its own. Under lossy network conditions. when used in combination with an unordered transport protocol, GIFNCa permits faster progressive display at the receiver than GIF89a over an ordered transport protocol. This advantage comes in exchange for a small penalty in overall compression. This paper defines GIFNCa, and presents preliminary experimental data concerning this tradeoff. The overall goal of this research is to illustrate (1) the value of considering network characteristics in designing image formats, and (2) the value of unordered transport service.
机译:对于给定的图像质量水平,传统的图像压缩技术会寻求最小的文件大小。相比之下,具有网络意识的图像压缩技术考虑到以下事实:压缩图像将在可能会丢失和重新排序数据包的数据包交换网络上传输。我们描述了GIFNCa,这是流行的GIF89a标准的网络意识修订版。与GIF89a一样,GIFNCa使用LZW编码来压缩图像,但是GIFNCa使用应用级成帧方法进行压缩。数据被分割成路径MTU大小的数据单元,每个数据单元都可以独立解压缩并单独显示。在有损网络条件下。当与无序传输协议结合使用时,与有序传输协议相比,GIFNCa可以比GIF89a在接收器上更快地进行渐进显示。换来的是,此优点是总压缩量较小。本文定义了GIFNCa,并提供了有关此折衷的初步实验数据。这项研究的总体目标是说明(1)在设计图像格式时考虑网络特征的价值,以及(2)无序运输服务的价值。

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