Efficient Image Detail Mining
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F15%3A00230207" target="_blank" >RIV/68407700:21230/15:00230207 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-16808-1_9" target="_blank" >http://dx.doi.org/10.1007/978-3-319-16808-1_9</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-16808-1_9" target="_blank" >10.1007/978-3-319-16808-1_9</a>
Alternative languages
Result language
angličtina
Original language name
Efficient Image Detail Mining
Original language description
Two novel problems straddling the boundary between image retrieval and data min ing are formulated: for every pixel in the query image, (i) find the database image with the maximum resolution depicting the pixel and (ii) find the frequency with which itis photograp hed in detail. An efficient and reliable solution for both problems is proposed based on two novel techniques, the hierarchical query expansion that exploits the document at a time (DAAT ) inverted file and a geometric consistency verification sufficiently robust to prevent topic drift within a zooming search. Experiments show that the proposed method finds surprisingly fine details on landmarks, even those that are hardly noticeable for humans.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
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)<br>S - Specificky vyzkum na vysokych skolach
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
ACCV 2014: Proceedings of the 12th Asian Conference on Computer Vision, Part II
ISBN
978-3-319-16807-4
ISSN
0302-9743
e-ISSN
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Number of pages
15
Pages from-to
118-132
Publisher name
Springer
Place of publication
Cham
Event location
Singapore
Event date
Nov 1, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000362445600009