Distributed similarity search algorithm in distributed heterogeneous multimedia databases

Cited 5 time in webofscience Cited 0 time in scopus
  • Hit : 679
  • Download : 365
The collection fusion problem in multimedia databases is concerned with the merging of results retrieved by content based retrieval from distributed heterogeneous multimedia databases in order to find the most similar objects to a query object. We propose distributed similarity search algorithms, two heuristic algorithms and an algorithm using the linear regression, to solve this problem. To our knowledge, these algorithms are the first research results in the area of distributed content based retrieval for heterogeneous multimedia databases. (C) 2000 Elsevier Science B.V. All rights reserved.
Publisher
ELSEVIER SCIENCE BV
Issue Date
2000-07
Language
ENG
Article Type
Article
Citation

INFORMATION PROCESSING LETTERS, v.75, no.1-2, pp.35 - 42

ISSN
0020-0190
URI
http://hdl.handle.net/10203/1928
Appears in Collection
NE-Journal Papers(저널논문)
This item is cited by other documents in WoS
⊙ Detail Information in WoSⓡ Click to see webofscience_button
⊙ Cited 5 items in WoS Click to see citing articles in records_button

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0