Re: [Scaffoldhunter-devel] GSOC project: Interactive Image Query Formation

[<as...@it...>]

Hi Girish,

As you mentioned, running different classifiers depending on user  
input could be one approach to real-time input.

Image retrieval suffers from a problem called the "semantic gap": the  
retrieved images may not meet the intent of the user. In addition,  
different users may have different ideas of what is similar, e.g. by  
tumour location as opposed to tumour volume.

The idea behind the feedback loop is refine the search parameters in  
an iterative manner until the user is satisfied with what is  
retrieved. Iteration 0 would be the initial query formulation in  
which, using your suggestion as an example, the user would select the  
initial set of classifiers to apply. We would also like to include as  
part of the query formulation process the ability for the user to  
select regions of interest, or to exclude parts of the region from the  
query (e.g., limit image similarity to the lung region).

I would be interested to hear your thoughts on this.

Regards,
Ashnil

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