Talks and Poster Presentations (with Proceedings-Entry):
G. Zankl, Y. Haxhimusa, A. Ion:
"Interactive Labeling of Image Segmentation Hierarchies";
Talk: Joint 34th DAGM and 36th OAGM Symposium,
- 2012-08-31; in: "Pattern Recognition",
We study the task of interactive semantic labeling of a segmentation hierarchy.
To this end we propose a framework interleaving two components: an automatic labeling step,
based on a Conditional Random Field whose dependencies are defined by the inclusion tree of
the segmentation hierarchy, and an interaction step that integrates incremental input from a human user.
Evaluated on two distinct datasets, the proposed interactive approach efficiently integrates human interventions
and illustrates the advantages of structured prediction in an interactive framework
"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)
Created from the Publication Database of the Vienna University of Technology.