On 21 February 2010 14:05, Sven Neumann <sven@xxxxxxxx> wrote:
Did you compare against SIOX as in the master branch or against the
improved version that resulted from last year's GSoC ? It would also be
interesting if you could benchmark your algorithm using the benchmark
proposed in "GrabCut": interactive foreground extraction using iterated
graph cuts" published in the Proceedings of the 2004 SIGGRAPH
Conference. There's a Python script shipped with the GIMP source code
that does this with the SIOX tool.
I compared against both branches and the results were about the same. Regarding the benchmark, on the papers that I mentioned in my first email [1,2] we used the whole GrabCut segmentation dataset considering the F-measure over the groundtruths (because our approach does not use trimaps). The accuracy result was of over 98% on every paper. In fact, on another work [3] seven users segmented a subset with 20 images from the GrabCut dataset, using different pattern classifiers for one stage of our framework, and the results were still above 97.7%. Also, we used the average number of drawn markers as an indication of user interaction, and part of our current approach (described in [2]) required about 5 markers in average (foreground + background). We are currently working on a paper to detail our final framework, because what was proposed on [2] was further improved to make user interaction even more effective and simple, while maintaining the segmentation quality.
I made a video comparing what I am going to implement for GIMP (currently on our research software) and the soc-2009-siox-drb branch, which can be seen here: http://vimeo.com/9803589. In my comparison, I used two images from the GrabCut dataset and one from the Berkeley dataset [4] that present increasing degree of difficulty. I believe that the foreground selection tool requires a lot more user interaction for most common images, because it usually does not handle well cases where foreground and background have similar texture/color (as pointed out on the SIOX paper).
In my opinion we should at this point concentrate on merging last year's
work on the SIOX tool. If we start to add other segmentation methods
before this work is merged, then it will become very difficult to ever
get the soc-2009-siox-drb branch merged.
I agree that it should be a concern to merge that branch, but I think my framework could be released as a minor version in the future. So, it would be nice to have GSoC support for that.
Image Processing, 22 (SIBGRAPI), Oct 2009, IEEE. To appear in IEEE Xplore.
[4] - http://www.eecs.berkeley.edu/Research/Projects/CS/vision/bsds/
--
Thiago Vallin Spina
MSc student
Laboratory of Visual Informatics
Institute of Computing -- Unicamp
www.liv.ic.unicamp.br
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