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Compressing JPEG 2000 JPIP Cache State Information

机译:压缩JPEG 2000 JPIP缓存状态信息

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摘要

JPEG 2000 part 9, or short JPIP, is an interactive image browsing protocol that allows the selective delivery of image regions, components or scales from JPEG 2000 image. Typical applications are browsing tools for medical databases where transmitting huge images from server to client in total would be uneconomical. Instead, JPIP allows extracting only the desired image parts for analysis by an http type request syntax. Such a JPIP connection may either operate in a session within which the server remains aware of the image data already cached at the client and it hence doesn't have to transmit again, or it may operate in a stateless mode in which the server has no model of the data already available on the client. In such cases, the client may include a description of its cache model within a proceeding request to avoid retransmission of data already buffered. Unfortunately, the standard defined methods how such cache models are described are very inefficient, and a single request including a cache model may grow several KBytes large for typical images and requests, making the deployment of a JPIP server on top of existing http server infrastructure rather inconvenient. In this work, a lossy and loss less embedded compression scheme for such JPIP cache model adjustment requests based on a modified zero-tree algorithm is proposed, this algorithm works even in constraint environments where request size must remain limited. The proposed algorithm losslessly compresses such cache model adjustment requests often better than by a factor of 1:8, but may even perform a 1:8000 compression in cases where the cache model has to describe a large number of precincts.
机译:JPEG 2000第9部分(简称JPIP)是一种交互式图像浏览协议,它允许从JPEG 2000图像中选择性地传递图像区域,分量或缩放比例。典型的应用是用于医疗数据库的浏览工具,在这些工具中,从服务器到客户端总共传输大量图像是不经济的。而是,JPIP允许仅提取所需的图像部分以通过http类型请求语法进行分析。此类JPIP连接可以在会话中运行,在该会话中服务器保持对客户端已缓存的图像数据的了解,因此不必再次传输,或者可以在无状态模式下运行,其中服务器没有客户端上已经可用的数据模型。在这种情况下,客户端可以在进行中的请求中包括其缓存模型的描述,以避免重传已缓存的数据。不幸的是,如何定义此类缓存模型的标准定义方法效率很低,并且包含缓存模型的单个请求可能会增加典型图像和请求的几千字节,这使得在现有http服务器基础结构之上部署JPIP服务器变得相当困难。不方便。在这项工作中,提出了一种基于改进的零树算法的此类JPIP缓存模型调整请求的有损无损嵌入式压缩方案,即使在必须限制请求大小的约束环境中,该算法也可以工作。所提出的算法无损地压缩这样的高速缓存模型调整请求通常好于1:8,但是在高速缓存模型必须描述大量区域的情况下甚至可以执行1:8000压缩。

著录项

  • 来源
  • 会议地点 Snowbird UT(US)
  • 作者

    Richter T.;

  • 作者单位

    Univ. of Stuttgart, Stuttgart, Germany;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 TP311.56;
  • 关键词

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