Le 24/11/2014 13:32, Jonas Öberg a écrit :
Hi Adrien,
Hi Jonas,
[...]
Thank you for your email. This is very interesting to learn about your
project! I think you are targeting a big issue of photographers.
While we currently have the full ~22M images from
Wikimedia Commons in
our database, we're still ironing out the kinks of the system and
making some additional improvements. If you think that we should
consider ORB instead of or in addition to our current algorithms, we'd
love to give that a try, and it'd obviously be very interesting if we
could end up having compatible signatures compared to your database.
Your hash approach uses very small signatures, which can be quickly
transmitted over a network and searched.
Using the "visual word" approach I use in Pastec would enable the
matching of modified images but would also require a lot more resources.
Thus, while your hash is 256 bits long, an image signature in the Pastec
index is approximately 8 KB.
Similarly, I guess that the search complexity of your hash approach is
o(1) while in Pastec this is much more complicated: first "tf-idf"
ranking and then two geometrical rerankings...
Finally, extracting ORB features is, I think, not something that could
be done quickly in Javascript.
So my conclusion would be that, if you are fine with not matching
modified images, ORB features will not be useful for your project. :-)
Best regards,
--
Adrien Maglo
Pastec developer
http://www.pastec.io
+33 6 27 94 34 41