Faculty of Informatics Vienna University of Technology Institute of Computer Aided Automation PRIP Home PRIP Home
Personal tools
You are here: Home Teaching PRIP-Talks Marcin Grzegorzek: Integrating Domain Specific Knowledge into the Process of Digital Image Analysis
Navigation
 

Marcin Grzegorzek: Integrating Domain Specific Knowledge into the Process of Digital Image Analysis

What
  • Presentation
When Oct 09, 2009
from 10:30 am to 11:30 am
Where Sem 186
Add event to calendar vCal
iCal
State-of-the-art image analysis systems often feature
limited robustness under varying environment conditions.
A significant improvement in this research area can only
be achieved based on better understanding of how humans
interpret digital images and by modeling this behavior.
Moreover, human knowledge about a particular application
domain should also be taken into consideration. Integration
of the high-level background knowledge modeled as an
ontology into the low-level image processing in a
cognitive and mathematically consistent way is the only
chance to achieve improvements in this research field.
The talk will comprehensively discuss this hypothesis.
At the beginning, an introduction and an overview of
relevant research topics the speaker has been working on
over the last few years will be given. Further, three of
them will be presented in detail. The first one addresses
the problem of appearances-based classification and
localization of 3D objects in 2D digital images without
using any domain specific knowledge. The second one
combines low-level image classification with high-level
spatial reasoning. The third one, submitted to the DFG
as an Emmy Noether Proposal, proposes a general approach
for integration of the background knowledge stored in
an ontology into the process of medical image analysis.
The talk will end with some final conclusions and general
statements about the future research direction of the
speaker.
Document Actions