From Visual Representation to Object Discovery and Back
Typ dokumentu
habilitační prácehabilitation thesis
Autor
Tolias, Giorgos
Instituce přidělující hodnost
České vysoké učení technické v Praze. Fakulta elektrotechnická.Metadata
Zobrazit celý záznamAbstrakt
This thesis summarizes the author’s post-PhD work that has a major focus on instance-level recogni-
tion tasks, such as instance-level search primarily, but also instance-level recognition. Visual representa-
tion is at the core of most computer vision tasks. This is addressed in the first part of the manuscript with
crafting and learning of visual representations and similarity measures. A number of different represen-
tation approaches are summarized under the same framework provided by a match kernel formulation,
while the interplay between local and global representation is highlighted. Given the representation,
efficient estimation of similarity with respect to a large number of examples enables visual search appli-
cations. This is covered in the second part especially in the form of query expansion, which goes beyond
pairwise similarity and treats a collection of examples as a whole. The last part discusses object discovery
as an outcome of exploiting visual similarity and search within a large unordered collection of examples.
Its result is then used to improve other components, namely representation and search, therefore, forming
a circle and pronouncing the synergy between different contributions in this thesis.
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