Fast Computation of min-Hash Signatures for Image Collections
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F12%3A00200364" target="_blank" >RIV/68407700:21230/12:00200364 - isvavai.cz</a>
Result on the web
—
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
Fast Computation of min-Hash Signatures for Image Collections
Original language description
A new method for highly efficient min-Hash generation for document collections is proposed. It exploits the inverted file structure which is available in many applications based on a bag or a set of words. Fast min-Hash generation is important in applications such as image clustering where good recall and precision requires a large number of min-Hash signatures.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
—
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
CVPR 2012: Proceedings of the 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition
ISBN
978-1-4673-1228-8
ISSN
1063-6919
e-ISSN
—
Number of pages
8
Pages from-to
3077-3084
Publisher name
IEEE Computer Society Press
Place of publication
New York
Event location
Providence, Rhode Island
Event date
Jun 16, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000309166203031