Ondřej Horáček
Defense type
Ph.D.
Date of event
Venue
FJFI ČVUT, Trojanova 13, Praha 2, místnost 212
Mail
This thesis deals with content-based image retrieval from large-scale
image databases. The aim is to nd the original version of a modi ed image.
The modi cations are suppressed by normalization, the search itself is based
on image intensities. Candidates for match are retrieved from our binary search
tree with use of stochastic backtracking. The candidates proceed to one-by-one
comparison and ltered to correct matches. The system has been implemented
and is used in practice. Our test made on database of 25 milion images prove
that the retrieval is fast, the error ratio is low and the success rate is good for
practice, varying for di erent degradations.