Robust histogram-based image retrieval

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F16%3A00452147" target="_blank" >RIV/67985556:_____/16:00452147 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1016/j.patrec.2015.10.012" target="_blank" >http://dx.doi.org/10.1016/j.patrec.2015.10.012</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.patrec.2015.10.012" target="_blank" >10.1016/j.patrec.2015.10.012</a>

Result language
angličtina
Original language name
Robust histogram-based image retrieval
Original language description
We present a histogram-based image retrieval method which is designed specifically for noisy query images. The images are reretrieved according to histogram similarity. To reach high robustness to noise, the histograms are described by newly proposed features which are insensitive to a Gaussian additive noise in the original images. The advantage of the new method is proved theoretically and demonstrated experimentally on real data.
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Project
<a href="/en/project/GA15-16928S" target="_blank" >GA15-16928S: Invariants and adaptive representations of digital images</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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