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TinEye and Google Goggles applied to the entire Internet? Yes please. I can't wait to play around with this. What will be even more interesting is if they rele

TinEye and Google Goggles applied to the entire Internet? Yes please. I can't wait to play around with this. What will be even more interesting is if they release an API for it in the future. Sites like imgur and reddit could then suggest if you're uploading or submitting a similar image to one that already exists.

wccrawford 15y ago
I just tried TinEye (hadn't heard of it before) and it appears to only look for images that are modifications of the image being searched for. I wonder if Google's will work the same, or if it will be possible to find other images that are similar, but not based on the same image? That's what I really want.
- tilt 15y ago
  Actually the presentation showed a query for an old picture returning images taken from the same place. It's being said that they're doing it by matching images' basic lines and shapes.
- ch0wn 15y ago
  Here's an interesting article about image hashing and fingerprinting algorithms: http://www.hackerfactor.com/blog/index.php?/archives/432-Looks-Like-It.html http://www.hackerfactor.com/blog/index.php?/archives/432-Loo...
  - safeaim 15y ago
    Everything from that blog is interesting, do you or anyone else got any suggestions for similar blogs?
- Jun8 15y ago
  The "similarity" of two images is a very complicated concept, when people are asked to tag images the overlap rarely goes above 20% on average (e.g. check out http://images.google.com/imagelabeler/ http://images.google.com/imagelabeler/ and try your hand at it). Think about it: you may think at the object level (both images have cars), concept level (both are happy images), color, etc. This is why large online stock image sellers still rely on tags extensively. As a rough analogy, consider a textual example: Find a sentence similar to "It is a truth universally acknowledged, that a single man in possession of a good fortune, must be in want of a wife." Now, if you enter this sentence in Google, it retrieves documents that contain it, in TinyEye fashion. What other similarity is desired? Should it retrieve essays on Austen, on marriage, 17th century English literature...? If you are interested in image similarity search, check out the Pascal challenge (http://pascallin.ecs.soton.ac.uk/challenges/VOC/voc2011/index.html http://pascallin.ecs.soton.ac.uk/challenges/VOC/voc2011/inde...). The advances in the last 5-6 years on object detection and visual feature extraction (which image similarity relies on) is amazing.
Andrenid 15y ago
An API would be amazing. Could make a service that tells you if any of your Flickr/dA/Picasa photos are being used anywhere else on the web, etc. I'd pay good money for that service (as a photographer who has had photos stolen/used-without-permission).

wccrawford 15y ago

I just tried TinEye (hadn't heard of it before) and it appears to only look for images that are modifications of the image being searched for. I wonder if Google's will work the same, or if it will be possible to find other images that are similar, but not based on the same image? That's what I really want.

tilt 15y ago
Actually the presentation showed a query for an old picture returning images taken from the same place. It's being said that they're doing it by matching images' basic lines and shapes.
ch0wn 15y ago
Here's an interesting article about image hashing and fingerprinting algorithms: http://www.hackerfactor.com/blog/index.php?/archives/432-Looks-Like-It.html http://www.hackerfactor.com/blog/index.php?/archives/432-Loo...
- safeaim 15y ago
  Everything from that blog is interesting, do you or anyone else got any suggestions for similar blogs?
Jun8 15y ago
The "similarity" of two images is a very complicated concept, when people are asked to tag images the overlap rarely goes above 20% on average (e.g. check out http://images.google.com/imagelabeler/ http://images.google.com/imagelabeler/ and try your hand at it). Think about it: you may think at the object level (both images have cars), concept level (both are happy images), color, etc. This is why large online stock image sellers still rely on tags extensively. As a rough analogy, consider a textual example: Find a sentence similar to "It is a truth universally acknowledged, that a single man in possession of a good fortune, must be in want of a wife." Now, if you enter this sentence in Google, it retrieves documents that contain it, in TinyEye fashion. What other similarity is desired? Should it retrieve essays on Austen, on marriage, 17th century English literature...? If you are interested in image similarity search, check out the Pascal challenge (http://pascallin.ecs.soton.ac.uk/challenges/VOC/voc2011/index.html http://pascallin.ecs.soton.ac.uk/challenges/VOC/voc2011/inde...). The advances in the last 5-6 years on object detection and visual feature extraction (which image similarity relies on) is amazing.

Andrenid 15y ago

An API would be amazing. Could make a service that tells you if any of your Flickr/dA/Picasa photos are being used anywhere else on the web, etc. I'd pay good money for that service (as a photographer who has had photos stolen/used-without-permission).