A Dynamic Signature Technique for Multimedia Databases.

Fausto Rabitti, Pavel Zezula: A Dynamic Signature Technique for Multimedia Databases. SIGIR 1990: 193-210

@inproceedings{DBLP:conf/sigir/RabittiZ90,
  author    = {Fausto Rabitti and
               Pavel Zezula},
  editor    = {Jean-Luc Vidick},
  title     = {A Dynamic Signature Technique for Multimedia Databases},
  booktitle = {SIGIR'90, 13th International Conference on Research and Development
               in Information Retrieval, Brussels, Belgium, 5-7 September 1990,
               Proceedings},
  publisher = {ACM},
  year      = {1990},
  isbn      = {0-89791-408-2},
  pages     = {193-210},
  ee        = {db/conf/sigir/RabittiZ90.html},
  crossref  = {DBLP:conf/sigir/90},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

BibTeX

Abstract

A signature file acts as a filtering mechanism to reduce the amount of data that needs to be searched during query evaluation. Even though several techniques for organizing and searching signature files have been proposed in literature, they have serious limitations when applied to multimedia databases, where integrated access methods to text and image content are needed. A new signature technique, called Quick Filter, is proposed in the paper. According to this technique, signatures are divided into partitions, each of which holds signatures sharing the same characteristic key. As a result, it is possible to determine if the signatures in a partition satisfy a query by merely examining the key. Partitions not matching the key need not be searched. This method is based on dynamic hashing since signatures are hashed into partitions according to the keys and the file size, computed algorithmically from the signatures. Implementation of this technique is illustrated using an example and is verified by analytical performance evaluation. The result is a signature technique which satisfies the requirements for access methods in multimedia databases: dynamicity, with respect to insertions and updates, good query processing performance on large databases for high-weight queries.

Copyright © 1990 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

Jean-Luc Vidick (Ed.): SIGIR'90, 13th International Conference on Research and Development in Information Retrieval, Brussels, Belgium, 5-7 September 1990, Proceedings. ACM 1990, ISBN 0-89791-408-2
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Referenced by

Byoung Mo Im, Myoung-Ho Kim, Jae Soo Yoo: MIN-Entropy: A New Signature File Declustering Algorithm for Intra-Query Parallelism. DASFAA 1997: 235-242
Hwan-Seung Yong, Sukho Lee, Hyoung-Joo Kim: Applying Signatures for Forward Traversal Query Processing in Object-Oriented Databases. ICDE 1994: 518-525
Pavel Zezula, Paolo Ciaccia, Paolo Tiberio: Hamming Filters: A Dynamic Signature File Organization for Parallel Stores. VLDB 1993: 314-327

BibTeX

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