After seeing the results for Text detection, we discussed the following points during our meeting:
1- Aseem presented a fuzzy matching technique. According to his technique, the elements of a graphic design are finalized after a query is presented. He proposed a graph matching technique (with MRF flavor) that performs a matching between query elements and the graphics elements. Some graphics elements could be merged or discarded during this process.
2- We discussed about how to wrap up the work and discussed the folowing TODO list.
TODO:
1- Finalize Text detection and report it on ICDAR dataset.
2- Finalize Graphics Annotation
3- Perform training on Graphics Detection
4- Run the algorithm on a larger dataset
5- Write up a description of how our system works
6- Write up technical details of the algorithm for filing a patent.
7- Make a presentation and a poster for the last two days
8- Clean up the code so that it is more readable.
9- Put the detection pieces back in the pipeline and make a final demo.
10- Output detections in an easily readable format that Aseem could later experiment with.
10- Output detections in an easily readable format that Aseem could later experiment with.
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