An Information-Retrieval Approach for Image Databases.

Fausto Rabitti, Pasquale Savino: An Information-Retrieval Approach for Image Databases. VLDB 1992: 574-584
  author    = {Fausto Rabitti and
               Pasquale Savino},
  editor    = {Li-Yan Yuan},
  title     = {An Information-Retrieval Approach for Image Databases},
  booktitle = {18th International Conference on Very Large Data Bases, August
               23-27, 1992, Vancouver, Canada, Proceedings},
  publisher = {Morgan Kaufmann},
  year      = {1992},
  isbn      = {1-55860-151-1},
  pages     = {574-584},
  ee        = {db/conf/vldb/RabittiS92.html},
  crossref  = {DBLP:conf/vldb/92},
  bibsource = {DBLP,}


The retrieval process in image database systems is inherently different from the retrieval process in traditional (record oriented) database systems. While the latter can be considered an exact process (records either satisfy thequery or do not so), the former is not an exact process and the system must take into account the uncertainty factor (i.e. the answer is not only "true" or "false" but is often in between them). Uncertainty is mainly introduced during the image analysis process (i.e. when semantic objects are associated, with a certain recognition degree, to image components, and multiple image interpretations are generated) and in the evaluation of how complex objects in images are relevant to user's queries. Moreover, it may be useful to give the user some flexibility in specifying the query on images (i.e. the "importance" of different parts of the query). The possibility to specify imprecise queries in a system can significantly increase the effectiveness in the retrieval process on image databases.

Copyright © 1992 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.

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Printed Edition

Li-Yan Yuan (Ed.): 18th International Conference on Very Large Data Bases, August 23-27, 1992, Vancouver, Canada, Proceedings. Morgan Kaufmann 1992, ISBN 1-55860-151-1
Contents BibTeX


Christos Faloutsos, Stavros Christodoulakis: Signature Files: An Access Method for Documents and Its Analytical Performance Evaluation. ACM Trans. Inf. Syst. 2(4): 267-288(1984) BibTeX
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Fausto Rabitti, Pasquale Savino: Image Query Processing Based on Multi-Level Signatures. SIGIR 1991: 305-314 BibTeX
Fausto Rabitti, Pasquale Savino: Automatic Image Indexation to Support Content-Base Retrieval. Inf. Process. Manage. 28(5): 547-566(1992) BibTeX
C. J. van Rijsbergen: Information Retrieval. Butterworth 1979, ISBN 0-408-70929-4
C. J. van Rijsbergen: A Non-Classical Logic for Information Retrieval. Comput. J. 29(6): 481-485(1986) BibTeX
Arnon Rosenthal, Sandra Heiler, Frank Manola: An Example of Knowledge-Based Query Processing in a CAD/CAM DBMS. VLDB 1984: 363-370 BibTeX
Gerard Salton, Michael McGill: Introduction to Modern Information Retrieval. McGraw-Hill Book Company 1984, ISBN 0-07-054484-0

Referenced by

  1. Euripides G. M. Petrakis, Christos Faloutsos: Similarity Searching in Medical Image Databases. IEEE Trans. Knowl. Data Eng. 9(3): 435-447(1997)
  2. Chih-Cheng Hsu, Wesley W. Chu, Ricky K. Taira: A Knowledge-Based Approach for Retrieving Images by Content. IEEE Trans. Knowl. Data Eng. 8(4): 522-532(1996)
  3. A. Prasad Sistla, Clement T. Yu, Chengwen Liu, King-Lup Liu: Similarity based Retrieval of Pictures Using Indices on Spatial Relationships. VLDB 1995: 619-629
  4. 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)
  5. A. Prasad Sistla, Clement T. Yu, R. Haddad: Reasoning About Spatial Relationships in Picture Retrieval Systems. VLDB 1994: 570-581
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