Data Modeling and Querying in the PIQ Image DBMS.

Uri Shaft, Raghu Ramakrishnan: Data Modeling and Querying in the PIQ Image DBMS. IEEE Data Eng. Bull. 19(4): 28-36(1996)
  author    = {Uri Shaft and
               Raghu Ramakrishnan},
  title     = {Data Modeling and Querying in the PIQ Image DBMS},
  journal   = {IEEE Data Eng. Bull.},
  volume    = {19},
  number    = {4},
  year      = {1996},
  pages     = {28-36},
  ee        = {db/journals/debu/ShaftR96.html},
  bibsource = {DBLP,}


Image Database Management Systems (IDBMS) aim to store large collections of images, and to support efficient content-based retrieval. In this paper we explore the idea of image data modeling as a tool for describing image domains, with the twofold objective of guiding feature extraction and incorporating semantics into the extracted summaries of images. We discuss the implementation of these ideas in the PIQ image DBMS, and demonstrate that significant gains in the expressiveness of content-based queries can be achieved.

Copyright © 1996 by The Institute of Electrical and Electronic Engineers, Inc. (IEEE). Abstract used with permission.

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Data Engineering Bulletin December 1996: Query Processing for Non-Standard Data (Joseph Hellerstein, ed.)
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