A Semantic Modeling Approach for Image Retrieval by Content.

Wesley W. Chu, Ion Tim Ieong, Ricky K. Taira: A Semantic Modeling Approach for Image Retrieval by Content. VLDB J. 3(4): 445-477(1994)

@article{DBLP:journals/vldb/ChuIT94,
  author    = {Wesley W. Chu and
               Ion Tim Ieong and
               Ricky K. Taira},
  title     = {A Semantic Modeling Approach for Image Retrieval by Content},
  journal   = {VLDB J.},
  volume    = {3},
  number    = {4},
  year      = {1994},
  pages     = {445-477},
  ee        = {db/journals/vldb/ChuIT94.html},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

Abstract

We introduce a semantic data model to capture the hierarchical, spatial, temporal, and evolutionary semantics of images in pictorial databases. This model mimics the user's conceptual view of the image content, providing the framework and guidelines for preprocessing to extract image features. Based on the model constructs, a spatial evolutionary query language (SEQL), which provides direct image object manipulation capabilities, is presented. With semantic information captured in the model, spatial evolutionary queries are answered efficiently. Using an object-oriented platform, a prototype medical-image management system was implemented at UCLA to demonstrate the feasibility of the proposed approach.

Copyright © 1994 by the VLDB Endowment. Permission to copy without fee all or part of this material is granted provided that the copies are not made or distributed for direct commercial advantage, the VLDB copyright notice and the title of the publication and its date appear, and notice is given that copying is by the permission of the Very Large Data Base Endowment. To copy otherwise, or to republish, requires a fee and/or special permission from the Endowment.

Key Words

Medical, image, and multimedia databases, spatial query processing, temporal evolutionary query processing.

Online Paper

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