ZEZULA, Pavel. Multi Feature Indexing Network MUFIN for Similarity Search Applications. In Maria Bielikova, Georg Gottlob, Stefan Katzenbeisser. SOFSEM 2012: Theory and Practice of Computer Science. Hidlberg: Springer, 2012, p. 77-87. ISBN 978-3-642-27659-0. Available from: https://dx.doi.org/10.1007/978-3-642-27660-6_7.
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Basic information
Original name Multi Feature Indexing Network MUFIN for Similarity Search Applications
Name in Czech Více aspektova vyhledávací síť MUFIN
Authors ZEZULA, Pavel (203 Czech Republic, guarantor, belonging to the institution).
Edition Hidlberg, SOFSEM 2012: Theory and Practice of Computer Science, p. 77-87, 11 pp. 2012.
Publisher Springer
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher Czech Republic
Confidentiality degree is not subject to a state or trade secret
Publication form printed version "print"
WWW URL
Impact factor Impact factor: 0.402 in 2005
RIV identification code RIV/00216224:14330/12:00057257
Organization unit Faculty of Informatics
ISBN 978-3-642-27659-0
ISSN 0302-9743
Doi http://dx.doi.org/10.1007/978-3-642-27660-6_7
UT WoS 000307258500007
Keywords (in Czech) podobnost, hledání, systém
Keywords in English similarity searching system
Changed by Changed by: RNDr. Pavel Šmerk, Ph.D., učo 3880. Changed: 22/4/2013 23:31.
Abstract
Similarity has been a central notion throughout our lives and due to the current unprecedented growth of digital data collections of various types in huge quantities, similarity management of digital data is becoming necessary. The Multi-Feature Indexing Network (MUFIN) is a generic engine for similarity search in various data collections, such as pictures, video, music, biometric data, sensor and scientific data, and many others.
Abstract (in Czech)
Podobnostje pro jednání lidí zásadním fenomenem. MUFIN se snaží řešit problémy podobnosti pro rozsáhlou škálu digitálních dat.
Links
GAP103/10/0886, research and development projectName: Vizuální vyhledávání obrázků na Webu (Acronym: VisualWeb)
Investor: Czech Science Foundation, Content-based Image Retrieval on the Web Scale
PrintDisplayed: 27/5/2024 17:51