Proximity-based Order-respecting Intersection for Searching in Image Databases
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F10%3A00049631" target="_blank" >RIV/00216224:14330/10:00049631 - isvavai.cz</a>
Alternative codes found
RIV/00216224:14330/11:00081752
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-642-27169-4" target="_blank" >http://dx.doi.org/10.1007/978-3-642-27169-4</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-642-27169-4" target="_blank" >10.1007/978-3-642-27169-4</a>
Alternative languages
Result language
angličtina
Original language name
Proximity-based Order-respecting Intersection for Searching in Image Databases
Original language description
As the volume of non-textual data, such images and other multimedia data, available on Internet is increasing. The issue of identifying data items based on query containment rather than query equality is more and more important. In this paper, we proposea solution to this problem. We assume the local descriptors are extracted from data item, so the aforementioned problem reduces to finding data items of a collection that share as many as possible local descriptors with the query. In particular, we defined a new e-intersection that identifies close (similar) descriptors. Local descriptors usually contain the location of the descriptors in the original data, so the proposed solution takes into account them to increase effectiveness of searching. We evaluate the e-intersection on two real-life image collections using SIFT and SURF local descriptors.
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
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
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
8th International Workshop on Adaptive Multimedia Retrieval, AMR'2010
ISBN
978-3-642-27168-7
ISSN
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e-ISSN
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Number of pages
14
Pages from-to
174-188
Publisher name
Johannes Kepler University
Place of publication
Linz
Event location
Linz
Event date
Jan 1, 2010
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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