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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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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部分或短JPIP是一种交互式图像浏览协议,允许从JPEG 2000图像中选择性地传送图像区域,组件或缩放。典型的应用程序是浏览用于医疗数据库的工具,其中总共从服务器传输到客户端的巨大图像是不经济的。相反,JPIP允许仅通过HTTP类型请求语法分析所需的图像部分。这样的JPIP连接可以在服务器内部操作,服务器仍然知道已经缓存在客户端的图像数据,因此不必再次发送,或者它可以以无状态模式操作,服务器没有客户端上已有的数据模型。在这种情况下,客户端可以在进行的请求中包括对其高速缓存模型的描述,以避免重传已经缓冲的数据。不幸的是,标准定义方法描述了如何描述这种缓存模型的效率非常低效,并且包括高速缓存模型的单个请求可以为典型图像和请求的若干KBytes生长大量,并在现有的HTTP服务器基础架构上部署JPIP服务器不方便。在这项工作中,提出了一种基于修改的零树算法的这种JPIP高速缓存模型调整请求的损耗和损失的较少嵌入式压缩方案,即使在请求大小必须保持有限的约束环境中,该算法也运行。该算法无损地压缩此类高速缓存模型调整请求通常优于1:8,但甚至可以在高速缓存模型必须描述大量区域的情况下执行1:8000压缩。

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