I need to develop an image labeling application, for this task I'm considering using Conditional Random Fields (CRF) over a set of superpixels, there exists quite a few papers that point out this technology as the state of the art for this task. As usual the task could be devided into two tasks:
I'm aware of training-time to be quite high, however I have not found anything about testing-time nor performance, does anyone have and idea of how much time could take the testing problem? I suppose it will depend on the number of labels, image size, implementation, hardware, etc
Testing is slowish because you still have to solve a graph cuts problem (but nothing like training). There is an implementation you can try out at http://drwn.anu.edu.au/drwnProjMultiSeg.html (you have probably seen Stephen Gould's papers).
I still have the log file. but it is a bit hard to interpret so the following may not be totally accurate. On a super fast machine, I think it took about:
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