Tin Eye

Sauravanju 1,442 views 23 slides Dec 09, 2009
Slide 1
Slide 1 of 23
Slide 1
1
Slide 2
2
Slide 3
3
Slide 4
4
Slide 5
5
Slide 6
6
Slide 7
7
Slide 8
8
Slide 9
9
Slide 10
10
Slide 11
11
Slide 12
12
Slide 13
13
Slide 14
14
Slide 15
15
Slide 16
16
Slide 17
17
Slide 18
18
Slide 19
19
Slide 20
20
Slide 21
21
Slide 22
22
Slide 23
23

About This Presentation

No description available for this slideshow.


Slide Content

Presented By:- Saurav Amatya

Introduction – What is TinEye?
How to use TinEye?
Why Register?
Features
Installing Plugins
Its uses
Some examples
How does it work?
TinEye mobile product
Similar Product like TinEye in the market
Who need it?
Limitations
Conclusion
References

 A reverse image search engine
Uses Image identification technology
Image whether modified or unmodified
Developed by Idee, Inc., a company based in
Toronto, Canada
Launched on May 6, 2008
Free service
http://en.wikipedia.org/wiki/Tineye
---http://www.slideshare.net/RefreshEvents/leila-boujnane-image-searching-with-tin-eye

Go to http://www.tineye.com
Upload the image
Provide the URL of the website containing
image

Save your search
Suggest your search as a cool search found in the web
Sign up for newsletters from TinEye.
http://tineye.com/signup

Very precise matches –
http://www.tineye.com/cool_searches
Quick comparison between query and found
matches
Bookmarklet and browser plugins
API
Save your search

http://www.tineye.com/plugin

Find out where and how an image appears
online
Find modified versions of unmodified images
or vice versa
Search for your images to see where they are
being used
Search for similar image but off higher
resolution
Locate web pages that make use of an image
you have created
http://steal-ideas.blogspot.com/2009/08/reverse-your-image-search-using-tineye.html

Wikimedia Commons is a repository of free-
content files, including images, that are either
in the public domain or released under free
licenses.
Images used in many projects including
wikipedia
They have created automated plugins and
image checkers driven by the TinEye search
engine to check the copyrighted image.
http://blog.ideeinc.com/2009/07/08/
wikimedia-commons-tineye/

Crawling – for additional images
Creation of digital signature/fingerprint of each image
Uses image recognition
Analyzes pixel by pixel
No filename and no extension
Rank them according to the proximity
Sort them
Input = An image or the URL of the image
Output = Detailed list of images with their URLs

http://www.telegraph.co.uk/news/worldnews/asia/malaysia/4701906/Photograph-shows-giant-snake-lurking-in-Borneo-river.html

http://www.scientificamerican.com/blog/post.cfm?id=how-to-find-out-that-borneos-snake-2009-03-06

http://blog.ideeinc.com/2009/06/09/tineye-earns-a-star/#

“I am sure that sooner or later, there will be a charge for TinEye but to me
its worth it. After much negotiations between the Romanian publisher
and myself, I settled for $1700 (1000 euros). I was advised by a Romanian
law firm that under Romanian law, the most I could obtain was three
times the price I would have charged for the image in the first place (if I
had taken it to court). The publisher said that they would normally pay
between 75 and 200 euros per image which was far below my
expectations (and FotoQuote) I baulked at this and to add a little
leverage, I advised them that I would demand that all copies of the book
be withdrawn and destroyed at their expense. I then received the offer for
1,000 euros” – Sheila Smart
http://form.pbase.com/viewtopic.php?f=6&t=38500

http://tineye.com/search/ad35130b80776652ddf383f2e940bb017984079b?page=1

Use of Bookmarklet
Installing it first on PC and then on Mobile
device.
Search for image through your phone.
First mobile release is TinEye music and is for
iPhones only.
Find about an album simply by taking a photo of it’s
album cover
http://ideeinc.com/products/tineyemobile/
Note: Image is also from the same
source

According to Leila Boujnane, CEO of TinEye

“TinEye does for images what Google does for
text. We are not limited by words, Google can
only find an image if a particular search word
is in proximity to it. We have the ability on a
large scale to tell somebody where one of their
images has appeared and how it’s being used.”

Similar product in market??
http://similar-images.googlelabs.com

Students and scholars, to give credit or find the original
source of the image
Lecturer and tutor, to check for plagiarism
Photographers, search for people whom misuse their
copyright images/pictures without permission

No result will be retrieved if the website has
not been crawled
Watermarked images limitation
TinEye works best with image that are at least
300 pixels in either dimension, but can accept
images as low as 100 pixels in either
dimension.
1 megabyte is the maximum file size.
http://www.tineye.com/faq#what_kind

First search engine that uses image identification
technology
Beta Version
1.04 billion images in database
Crawls new images on the web on a regular basis and
the number of indexed images is constantly growing
http://www.makeuseof.com/tag/tineye-searching-for-images-with-image/
--
http://www.techcrunch.com/2008/05/26/mr-jobs-heres-an-idee-for-you-put-tineye-image-search-into-iphoto-500-invites/

For introduction about this topic
http://tineye.com/widgets/display
 http://en.wikipedia.org/wiki/Tineye
http://www.slideshare.net/RefreshEvents/leila-boujnane-image-searching-with-tin-eye
About Registration
http://tineye.com/signup
Features
http://tineye.com
About plug-ins and bookmarklets
http://tineye.com/plugin
About the working principle of TinEye
http://tineye.com/widgets/display
http://www.slideshare.net/RefreshEvents/leila-boujnane-image-searching-with-tin-eye
For limitations
http://www.tineye.com/faq#what_kind
For uses
http://steal-ideas.blogspot.com/2009/08/reverse-your-image-search-using-tineye.html
For conclusion part
http://www.tineye.com
http://www.compete.com

More about conclusion part
http://www.techcrunch.com/2008/05/26/mr-jobs-heres-an-idee-for-you-put-tineye-image-search-into-iphoto-500-invites/
http://en.wikipedia.org/wiki/Tineye
Thank You!!
Tags