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)

@article{DBLP:journals/debu/ShaftR96,
  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, http://dblp.uni-trier.de}
}

Abstract

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.

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References

[1]: Jeffrey R. Bach, Santanu Paul, Ramesh Jain: A Visual Information Management System for the Interactive Retrieval of Faces. IEEE Trans. Knowl. Data Eng. 5(4): 619-628(1993)
[2]: Christos Faloutsos, Ron Barber, Myron Flickner, Jim Hafner, Wayne Niblack, Dragutin Petkovic, William Equitz: Efficient and Effective Querying by Image Content. J. Intell. Inf. Syst. 3(3/4): 231-262(1994)
[3]: Amarnath Gupta, Terry E. Weymouth, Ramesh Jain: Semantic Queries with Pictures: The VIMSYS Model. VLDB 1991: 69-79
[4]: Wayne Niblack, Ron Barber, William Equitz, Myron Flickner, Eduardo H. Glasman, Dragutin Petkovic, Peter Yanker, Christos Faloutsos, Gabriel Taubin: The QBIC Project: Querying Images by Content, Using Color, Texture, and Shape. Storage and Retrieval for Image and Video Databases (SPIE) 1993: 173-187
[5]: Alex Pentland, Rosalind W. Picard, Stan Sclaroff: Photobook: Tools for Content-Based Manipulation of Image Databases. Storage and Retrieval for Image and Video Databases (SPIE) 1994: 34-47
[6]: ...
[7]: ...