Large-scale Image Retrieval using Neural Net Descriptors
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F15%3A00081693" target="_blank" >RIV/00216224:14330/15:00081693 - isvavai.cz</a>
Result on the web
<a href="http://dl.acm.org/citation.cfm?doid=2766462.2767868" target="_blank" >http://dl.acm.org/citation.cfm?doid=2766462.2767868</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/2766462.2767868" target="_blank" >10.1145/2766462.2767868</a>
Alternative languages
Result language
angličtina
Original language name
Large-scale Image Retrieval using Neural Net Descriptors
Original language description
One of current big challenges in computer science is development of data management and retrieval techniques that would keep pace with the evolution of contemporary data and with the growing expectations on data processing. Various digital images becamea common part of both public and enterprise data collections and there is a natural requirement that the retrieval should consider more the actual visual content of the image data. In our demonstration, we aim at the task of retrieving images that are visually and semantically similar to a given example image; the system should be able to online evaluate k nearest neighbor queries within a collection containing tens of millions of images. The applicability of such a system would be, for instance, on stock photography sites, in e-shops searching in product photos, or in collections from a constrained Web image search.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GAP103%2F10%2F0886" target="_blank" >GAP103/10/0886: Content-based Image Retrieval on the Web Scale</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval
ISBN
9781450336215
ISSN
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e-ISSN
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Number of pages
2
Pages from-to
1039-1040
Publisher name
ACM
Place of publication
New York, NY, USA
Event location
Santiago, Chile
Event date
Aug 9, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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