Comments on: A quick review of TinEye http://inperc.com/blog2/2008/05/27/a-quick-review-of-tineye/ Computer vision, image analysis, and related mathematics Thu, 17 Feb 2011 13:25:51 +0000 hourly 1 http://wordpress.org/?v=3.1.3 By: Peter http://inperc.com/blog2/2008/05/27/a-quick-review-of-tineye/comment-page-1/#comment-298 Peter Sun, 01 Jun 2008 13:12:25 +0000 http://inperc.com/blog2/2008/05/27/a-quick-review-of-tineye/#comment-298 I can see that for TinEye’s purposes rotation isn’t very important. But it would definitely not hurt. I care about this because my interest is mostly image analysis and search in science applications. BTW, in case it didn’t come across in the post, my impression of TinEye is quite positive. It works! I can see that for TinEye’s purposes rotation isn’t very important. But it would definitely not hurt. I care about this because my interest is mostly image analysis and search in science applications. BTW, in case it didn’t come across in the post, my impression of TinEye is quite positive. It works!

]]> By: Leila Boujnane http://inperc.com/blog2/2008/05/27/a-quick-review-of-tineye/comment-page-1/#comment-291 Leila Boujnane Sat, 31 May 2008 13:24:59 +0000 http://inperc.com/blog2/2008/05/27/a-quick-review-of-tineye/#comment-291 Peter, Thanks for giving TinEye a try. A small correction: our image identification algorithms can handle rotation exceptionally well. We have not rolled that out in TinEye because it would add some computational overhead and is not a critical feature for most of our users. I hope you realize that the current TinEye index is 487 million images and that we are working on growing that into the tens of billions of images. While it would be a nice feature, rotation invariance is not as significant as many of the goals and features we have in the works for TinEye. Thanks for the link to Lincoln from MS Research but I have never seen it work on a large scale collection (1/2 a billion images would be a good start!). Keep up the good work! Cheers, Leila Peter,

Thanks for giving TinEye a try.

A small correction: our image identification algorithms can handle rotation exceptionally well. We have not rolled that out in TinEye because it would add some computational overhead and is not a critical feature for most of our users. I hope you realize that the current TinEye index is 487 million images and that we are working on growing that into the tens of billions of images. While it would be a nice feature, rotation invariance is not as significant as many of the goals and features we have in the works for TinEye. Thanks for the link to Lincoln from MS Research but I have never seen it work on a large scale collection (1/2 a billion images would be a good start!).

Keep up the good work!

Cheers,

Leila

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