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Title:Graphical Models for Video Understanding
Author(s):Petrovic, Nemanja D.
Doctoral Committee Chair(s):Huang, Thomas S.
Department / Program:Electrical Engineering
Discipline:Electrical Engineering
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:Ph.D.
Genre:Dissertation
Subject(s):Artificial Intelligence
Abstract:Having the applications as the ultimate goal, I will demonstrate the algorithmic techniques for speeding up the naive learning in the graphical models by orders of magnitude. In that sense, I will investigate signal processing techniques, approximate methods, and online learning. I will demonstrate how the theory and algorithms usefully apply to the variety of tasks ranging from video clustering and stabilization, to video retrieval and building of the similarity measures between the distributions.
Issue Date:2005
Type:Text
Language:English
Description:85 p.
Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2005.
URI:http://hdl.handle.net/2142/80908
Other Identifier(s):(MiAaPQ)AAI3182351
Date Available in IDEALS:2015-09-25
Date Deposited:2005


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