Hi,
Here are my thoughts and confusions

The idea presented in the paper is a neat one indeed. But I am struck by the lack of any real results in the paper. The authors concede that there are no known metrics or standard data sets for this problem domain, but a comparison with he existing state of the art on the same dataset could have been provided. They dismiss the existing methods based on wavelets a bit too quickly I think.

Also the claim that AdaBoost does not overfit is not exactly true. It is known that if you run Adaboost long enough, it will overfit.

Finally the authors talk about refining the query to increase the accuray of the images returned. But they are rather vague about how exactly they go about doing it. Did they just iteratively improve the existing classifier or construct a new one.

sameer