Databases
StackOverflow2013
Postsdbo
POImplementation of SVM image annotation for color cast removal
 

Note that there are some explanatory texts on larger screens.

plurals
  1. POImplementation of SVM image annotation for color cast removal
    primarykey
    data
    text
    <p>I'm implementing an <a href="https://stackoverflow.com/questions/14203945/automatic-enhancement-of-scanned-images">automatic color cast removal</a> based on [<a href="http://www.ivl.disco.unimib.it/papers2003/Color%20BalancingPR.pdf" rel="nofollow noreferrer">1</a>], which seem like a robust, simple and yet well-performing method. To avoid removing an intrinsic cast by a predominant color such as large regions of vegetation, or water, they use a method of image annotation described by [<a href="http://www.ivl.disco.unimib.it/papers2003/IntImgV04%20-%20ImageAnnotationUsingSvm.pdf" rel="nofollow noreferrer">2</a>].</p> <p>The color cast detector use a multiclass support vector machine to classify image regions as sky, skin, vegetation, water or other. My problem is that [<a href="http://www.ivl.disco.unimib.it/papers2003/IntImgV04%20-%20ImageAnnotationUsingSvm.pdf" rel="nofollow noreferrer">2</a>] only describes the method, they do not include the parameters of the hyperplanes resulting from training the SVM. Training a new SVM is way out of my scope, but I haven't found any similar works including ready-to-use data. I would really appreciate one of the following:</p> <p>A. A set of hyperplane parameters resulting from training using the method in [<a href="http://www.ivl.disco.unimib.it/papers2003/IntImgV04%20-%20ImageAnnotationUsingSvm.pdf" rel="nofollow noreferrer">2</a>].</p> <p>B. Some other image annotation method for sky/skin/vegetation/water, including trained parameters or not requiring training.</p> <p>C. Some free image database containing annotated regions of sky/skin/vegetation/water, that I can use to train a new SVM using the method in [<a href="http://www.ivl.disco.unimib.it/papers2003/IntImgV04%20-%20ImageAnnotationUsingSvm.pdf" rel="nofollow noreferrer">2</a>].</p> <h3>References</h3> <ol> <li>F. Gasparini and R. Schettini "<a href="http://www.ivl.disco.unimib.it/papers2003/Color%20BalancingPR.pdf" rel="nofollow noreferrer">Color Balancing of Digital Photos Using Simple Image Statistics</a>"</li> <li>C. Cusano, G. Ciocca and R. Schettini "<a href="http://www.ivl.disco.unimib.it/papers2003/IntImgV04%20-%20ImageAnnotationUsingSvm.pdf" rel="nofollow noreferrer">Image annotation using SVM</a>"</li> </ol>
    singulars
    1. PO
      singulars
      1. PTAnswer
    1. This table or related slice is empty.
    1. PTQuestion
    1. USCommunity
    1. USAnlo
    plurals
    1. PL
      singulars
      1. LTLinked
    1. PL
      singulars
      1. LTLinked
    1. This table or related slice is empty.
    1. PO
      singulars
      1. PTAnswer
    1. VO
      singulars
      1. POImplementation of SVM image annotation for color cast removal
      1. USssube
      1. VTFavorite
    2. VO
      singulars
      1. POImplementation of SVM image annotation for color cast removal
      1. This table or related slice is empty.
      1. VTUpMod
    1. COHave you asked the authors of [2] for their model?
      singulars
      1. POImplementation of SVM image annotation for color cast removal
      1. USFred Foo
    2. COWell, actually no. :-) I just assumed they had some reason for not including it in their paper, but it sure won't hurt to ask. I'll contact them now.
      singulars
      1. POImplementation of SVM image annotation for color cast removal
      1. USAnlo
    3. COIn order to stop adding problems to your life (:)), my recommendation is simpler: ask the authors of the first paper for the code they used. It might take some time to get a response, but I don't see why they wouldn't share it. These authors also have at least another paper on this subject, where they combine multiple methods to remove color cast. If you find the reference 1 insufficient, you could go for this one and ask for the code again :)
      singulars
      1. POImplementation of SVM image annotation for color cast removal
      1. USmmgp
 

Querying!

 
Guidance
A row detail

Detail views are divided into sections. All the information in the data section comes from columns in the selected row. The other sections display data from other, related rows.

Related data can be related in a to-one or a to-many fashion. Captions of data related in a to-many fashion link to a list view showing a filtered view of the table.

Try moving around until you find a non-empty to-many entry and click on the label to get to one. You can move back to the root by clicking on the database name in the header.

SQuiL has stopped working due to an internal error.

If you are curious you may find further information in the browser console, which is accessible through the devtools (F12).

Reload