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Generic similarity search engine demonstrated by an image retrieval application
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Annual ACM Conference on Research and Development in Information Retrieval archive
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval table of contents
Boston, MA, USA
DEMONSTRATION SESSION: Demonstrations table of contents
Pages 840-840  
Year of Publication: 2009
ISBN:978-1-60558-483-6
Authors
David Novak  Masaryk University, Brno, Czech Rep
Michal Batko  Masaryk University, Brno, Czech Rep
Pavel Zezula  Masaryk University, Brno, Czech Rep
Sponsors
SIGIR: ACM Special Interest Group on Information Retrieval
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 24,   Downloads (12 Months): 79,   Citation Count: 0
Additional Information:

abstract   references   index terms   collaborative colleagues  

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ABSTRACT

We introduce a generic engine for large-scale similarity search and demonstrate it on a set of 100 million Flickr images.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
D. Novak, M. Batko, and P. Zezula. Web-scale system for image similarity search: When the dreams are coming true. In Proc. of CBMI '08, page 8. IEEE, 2008.
 
2
Pavel Zezula , Giuseppe Amato , Vlastislav Dohnal , Michal Batko, Similarity Search: The Metric Space Approach (Advances in Database Systems), Springer-Verlag New York, Inc., Secaucus, NJ, 2005

INDEX TERMS

Primary Classification:
  E. Data
  E.1 DATA STRUCTURES
      Subjects: Distributed data structures


General Terms:
Algorithms, Design, Experimentation, Performance


Keywords:
content-based search, metric space, scalability, similarity search

Collaborative Colleagues:
David Novak: colleagues
Michal Batko: colleagues
Pavel Zezula: colleagues

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