TinEye is a reverse image search engine developed and offered by Idée, Inc., a company based in Toronto, Ontario, Canada. It is the first image search engine on the web to use image identification technology rather than keywords, metadata or watermarks.[1] TinEye allows users to search not using keywords but with images. Upon submitting an image, TinEye creates a "unique and compact digital signature or fingerprint" of the image and matches it with other indexed images.[1] This procedure is able to match even heavily edited versions of the submitted image, but will not usually return similar images in the results.[1]
Idée, Inc. was founded by Leila Boujnane and Paul Bloore in 1999. Idée launched the service on May 6, 2008 and went into open beta in August that year.[2][3] While computer vision and image identification research projects began as early as the 1980s,[4] the company claims that TinEye is the first web-based image search engine to use image identification technology. The service was created with copyright owners and brand marketers as the intended user base, to look up unauthorized use and track where the brands are showing up respectively.[5]
In June 2014, TinEye claimed to have indexed more than five billion images for comparisons.[6] However, this is a relatively small proportion of the total number of images available on the World Wide Web.[7]
As of March 2024, TinEye's search results claim to have over 66.1 billion images indexed for comparison.[8]
Technologyedit
A user uploads an image to the search engine (the upload size is limited to 20 MB) or provides a URL for an image or for a page containing the image. The search engine will look up other usage of the image in the internet, including modified images based upon that image, and report the date and time at which they were posted. TinEye does not recognize outlines of objects or perform facial recognition, but recognizes the entire image, and some altered versions of that image. This includes smaller, larger, and cropped versions of the image. TinEye has shown itself capable of retrieving different images from its database of the same subject, such as famous landmarks.[9]
Results generated from TinEye include the total number of matches in their database, a preview image, and the URL to each match. TinEye can sort results by best match, most changed, biggest image, newest, and oldest.
User registration is optional and offers storage of the user's previous queries. Other features include embeddable widgets and bookmarklets. TinEye has also released their commercial API.
Usageedit
TinEye's ability to search the web for specific images (and modifications of those images) makes it a potential tool for the copyright holders of visual works to locate infringements on their copyright. It also creates a possible avenue for people who are looking to make use of imagery under orphan works to find the copyright holders of that imagery. Being that orphan works can be defined as "copyrighted works whose owners are difficult or impossible to identify and/or locate,"[11] the use of TinEye could potentially remove the orphan work status from online images that can be found in its database.
^George-Cosh, David (n.d.). "Idée's TinEye next frontier in Web searches" (PDF). National Post. Retrieved February 11, 2010.
^. Tineye.com. Archived from the original on July 1, 2014. Retrieved July 1, 2014.
^. Royal.pingdom.com. Archived from the original on July 12, 2018. Retrieved February 21, 2013.
^"TinEye Reverse Image Search". tineye.com. Retrieved August 23, 2023.
^Elias, Jean-Claude. (December 11, 2009). Search by photo. The Jordan Times. Retrieved on 2/19/10 from Factiva database.
^"TinEye Developer Documentation". services.tineye.com. Retrieved June 5, 2022.
^Yeh, B. (February 1, 2010). "Orphan works" in copyright law. Congressional Research Service. Retrieved on 2/19/10 from Factiva database.
External linksedit
Official website
January 01, 1970
tineye, this, article, multiple, issues, please, help, improve, discuss, these, issues, talk, page, learn, when, remove, these, template, messages, this, article, contain, excessive, inappropriate, references, self, published, sources, please, help, improve, r. This article has multiple issues Please help improve it or discuss these issues on the talk page Learn how and when to remove these template messages This article may contain excessive or inappropriate references to self published sources Please help improve it by removing references to unreliable sources where they are used inappropriately March 2009 Learn how and when to remove this message This article relies excessively on references to primary sources Please improve this article by adding secondary or tertiary sources Find sources TinEye news newspapers books scholar JSTOR March 2009 Learn how and when to remove this message Learn how and when to remove this message TinEye is a reverse image search engine developed and offered by Idee Inc a company based in Toronto Ontario Canada It is the first image search engine on the web to use image identification technology rather than keywords metadata or watermarks 1 TinEye allows users to search not using keywords but with images Upon submitting an image TinEye creates a unique and compact digital signature or fingerprint of the image and matches it with other indexed images 1 This procedure is able to match even heavily edited versions of the submitted image but will not usually return similar images in the results 1 TinEyeType of siteImage Search EngineAvailable inmultilingualOwnerIdee Inc URLtineye wbr comCommercialYesRegistrationOptionalLaunchedMay 6 2008 15 years ago 2008 05 06 Current statusActive Contents 1 History 2 Technology 3 Usage 4 See also 5 References 6 External linksHistory editIdee Inc was founded by Leila Boujnane and Paul Bloore in 1999 Idee launched the service on May 6 2008 and went into open beta in August that year 2 3 While computer vision and image identification research projects began as early as the 1980s 4 the company claims that TinEye is the first web based image search engine to use image identification technology The service was created with copyright owners and brand marketers as the intended user base to look up unauthorized use and track where the brands are showing up respectively 5 In June 2014 TinEye claimed to have indexed more than five billion images for comparisons 6 However this is a relatively small proportion of the total number of images available on the World Wide Web 7 As of March 2024 TinEye s search results claim to have over 66 1 billion images indexed for comparison 8 Technology editA user uploads an image to the search engine the upload size is limited to 20 MB or provides a URL for an image or for a page containing the image The search engine will look up other usage of the image in the internet including modified images based upon that image and report the date and time at which they were posted TinEye does not recognize outlines of objects or perform facial recognition but recognizes the entire image and some altered versions of that image This includes smaller larger and cropped versions of the image TinEye has shown itself capable of retrieving different images from its database of the same subject such as famous landmarks 9 TinEye is capable of searching for images in JPEG PNG WebP GIF BMP and TIFF format 10 Results generated from TinEye include the total number of matches in their database a preview image and the URL to each match TinEye can sort results by best match most changed biggest image newest and oldest User registration is optional and offers storage of the user s previous queries Other features include embeddable widgets and bookmarklets TinEye has also released their commercial API Usage editTinEye s ability to search the web for specific images and modifications of those images makes it a potential tool for the copyright holders of visual works to locate infringements on their copyright It also creates a possible avenue for people who are looking to make use of imagery under orphan works to find the copyright holders of that imagery Being that orphan works can be defined as copyrighted works whose owners are difficult or impossible to identify and or locate 11 the use of TinEye could potentially remove the orphan work status from online images that can be found in its database See also editContent based image retrievalReferences edit a b c TinEye Reverse Image Search tineye com Retrieved November 1 2022 Releases Tineye com Archived from the original on July 17 2011 Retrieved February 21 2013 Claburn Thomas August 18 2008 TinEye Image Search Finds Copyright Infringers InformationWeek Retrieved September 28 2014 Szeliski Richard 2010 Computer Vision Algorithms and Applications Springer Publishing p 832 ISBN 9781848829343 George Cosh David n d Idee s TinEye next frontier in Web searches PDF National Post Retrieved February 11 2010 Retrieved 2014 07 01 Tineye com Archived from the original on July 1 2014 Retrieved July 1 2014 Flickr hosts 5bn images as at Sep 10 Retrieved 2011 04 06 Royal pingdom com Archived from the original on July 12 2018 Retrieved February 21 2013 TinEye Reverse Image Search tineye com Retrieved August 23 2023 Elias Jean Claude December 11 2009 Search by photo The Jordan Times Retrieved on 2 19 10 from Factiva database TinEye Developer Documentation services tineye com Retrieved June 5 2022 Yeh B February 1 2010 Orphan works in copyright law Congressional Research Service Retrieved on 2 19 10 from Factiva database External links editOfficial website Retrieved from https en wikipedia org w index php title TinEye amp oldid 1213557824, wikipedia, wiki, book, books, library,
