Image Query Processing Based on Multi-Level Signatures.

Fausto Rabitti, Pasquale Savino: Image Query Processing Based on Multi-Level Signatures. SIGIR 1991: 305-314

@inproceedings{DBLP:conf/sigir/Rabitti91,
  author    = {Fausto Rabitti and
               Pasquale Savino},
  editor    = {Abraham Bookstein and
               Yves Chiaramella and
               Gerard Salton and
               Vijay V. Raghavan},
  title     = {Image Query Processing Based on Multi-Level Signatures},
  booktitle = {Proceedings of the 14th Annual International ACM SIGIR Conference
               on Research and Development in Information Retrieval. Chicago,
               Illinois, USA, October 13-16, 1991 (Special Issue of the SIGIR
               Forum)},
  publisher = {ACM},
  year      = {1991},
  isbn      = {0-89791-448-1},
  pages     = {305-314},
  ee        = {db/conf/sigir/Rabitti91.html},
  crossref  = {DBLP:conf/sigir/91},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

BibTeX

Abstract

This paper describes the processing of queries, expressing conditions on the content of images, in large image databases. The query language assumes that a semantic interpretation of the image content is available (i.e. an image symbolic interpreta-tion), as result of an image analysis process. The image query language addresses important aspects of the image interpretations resulting from image analysis, by defining partial conditions on the composition of the complex objects, requirements on their degree of recognition, and requirements on their position in the image interpretation. Particular emphasis is given on the definition of suitable content-based access structures to make more efficient the query processing. An approach based on multi-level signatures is adopted. The query is pre-processed on the signatures to filter-out most of the images not satisfying the query. Finally, an evaluation of the efficiency and precision of the signature technique is given.

Copyright © 1991 by the ACM, Inc., used by permission. Permission to make digital or hard copies is granted provided that copies are not made or distributed for profit or direct commercial advantage, and that copies show this notice on the first page or initial screen of a display along with the full citation.

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BibTeX

Printed Edition

Abraham Bookstein, Yves Chiaramella, Gerard Salton, Vijay V. Raghavan (Eds.): Proceedings of the 14th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. Chicago, Illinois, USA, October 13-16, 1991 (Special Issue of the SIGIR Forum). ACM 1991, ISBN 0-89791-448-1
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Referenced by

Y. Alp Aslandogan, Chuck Thier, Clement T. Yu, Chengwen Liu, Krishnakumar R. Nair: Design, Implementation and Evaluation of SCORE (a System for COntent based REtrieval of Pictures). ICDE 1995: 280-287
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)
A. Prasad Sistla, Clement T. Yu, R. Haddad: Reasoning About Spatial Relationships in Picture Retrieval Systems. VLDB 1994: 570-581
Fausto Rabitti, Pasquale Savino: An Information-Retrieval Approach for Image Databases. VLDB 1992: 574-584

BibTeX

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