Tin Eye

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Presented By:- Saurav Amatya

Transcript of Tin Eye

Page 1: Tin Eye

Presented By:- Saurav Amatya

Page 2: Tin Eye

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

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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

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

image

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Save your search Suggest your search as a cool search found in

the web Sign up for newsletters from TinEye.

http://tineye.com/signup

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Very precise matches – http://www.tineye.com/cool_searches

Quick comparison between query and found matches

Bookmarklet and browser plugins API Save your search

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http://www.tineye.com/plugin

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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

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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/

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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

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“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

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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

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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.”

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

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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

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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

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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/

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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

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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!!