(Nazarbayev University School of Science and Technology, 2017-04) Ismagambetov, Asset
Here we presented the model for environment estimation based on the interobject
relations. The uniqueness of this model is that it relies on the results of
image segmentation and predicts environment based on the object properties and
their relationships. The model provides context by describing the environment where
particular objects’ setup can occur. Many other works reported
usefulness of contextual information for image processing problems. In particular, [16]
had proven that contextual information can improve the accuracy of the verification
process up to 16%. As part of the feature work we plan to assess the improvement that
our model brings to the overall image segmentation process as part of the Algorithm
selection platform.