Google Images

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Google Images
Google Images 2015 logo.svg
Type of site
Search engine
Available inMultilingual (~100)
OwnerGoogle, a subsidiary of Alphabet Inc.
URLimages.google.com
CommercialYes
RegistrationOptional
LaunchedJuly 12, 2001; 20 years ago (2001-07-12)
Current statusActive

Google Images (previously Google Image Search) is a search engine owned by Google that allows users to search the World Wide Web for images.[1] It was introduced on July 12, 2001 due to a demand for pictures of the Green Versace dress of Jennifer Lopez worn in February 2000.[2][3][4] In 2011, reverse image search functionality was added.

When searching for an image, a thumbnail of each matching image is displayed. When the user clicks on a thumbnail, the image is displayed in a larger size, and users may visit the webpage on which the image is used.

History[]

Beginnings and expansion (2001–2011)[]

In 2000, Google Search results were limited to simple pages of text with links. Google's developers worked on developing this further, and they realized that an image search tool was required to answer "the most popular search query" they had seen to date: the Green Versace dress of Jennifer Lopez worn in February 2000.[5] Google paired a recently hired engineer Huican Zhu with product manager Susan Wojcicki (now the current CEO of YouTube) to build the feature, and they launched Google Image Search in July 2001.[6] That year, 250 million images were indexed in Image Search. This grew to 1 billion images by 2005 and over 10 billion images by 2010.[7]

In January 2007, Google updated the interface for the image search, where information about an image, such as resolution and URL, was hidden until the user moved the mouseover its thumbnail. This was discontinued after a few weeks.[8]

On October 27, 2009, Google Images added a feature to its image search that can be used to find similar images.[9]

On July 20, 2010, Google made another update to the interface of Google Images, which hid image details until mouseover.[10]

In May 2011, Google introduced a sort by subject feature for a visual category scheme overview of a search query.[11]

In June 2011, Google Images added a "Search by Image" feature which allowed for reverse image searches directly in the image search-bar without third-party add-ons. This feature allows users to search for an image by dragging and dropping one onto the search bar, uploading one, or copy-pasting a URL that points to an image into the search bar.[12]

New algorithm and accusations of censorship (2012–present)[]

On December 11, 2012, Google Images' search engine algorithm was changed once again, in the hopes of preventing pornographic images from appearing when non-pornographic search terms were used.[13][14] According to Google, pornographic images would still appear as long as the term searched for was specifically pornographic; otherwise, they would not appear. While Google stated explicitly that they were "not censoring any adult content", it was immediately noted that even when entering terms such as or "Breast," no explicit results were shown.[15][16][17] The only alternative option was to turn on an even stricter filter which would refuse to search for the aforementioned terms whatsoever.[17] Users could also no longer exclude keywords from their searches.[18]

On February 15, 2018, the interface was modified to meet the terms of a settlement and licensing partnership with Getty Images. The "View image" button (a deep link to the image itself on its source server) was removed from image thumbnails. This change is intended to discourage users from directly viewing the full-sized image (although doing so using a browser's context menu on the embedded thumbnail is not frustrated), and encourage them to view the image in its appropriate context (which may also include attribution and copyright information) on its respective web page. The "Search by image" button has also been downplayed, as reverse image search can be used to find higher-resolution copies of copyrighted images. Google also agreed to make the copyright disclaimer within the interface more prominent.[19]

On August 6th, 2019, the ability to filter images by their image resolutions was removed, as well as "larger than", "face", and "full color" filters.[20]

Search by Image feature[]

The Search by Image feature in use

Google Images has a Search by Image feature for performing reverse image searches. Unlike traditional image retrieval, this feature removes the need to type in keywords and terms into the Google search box. Instead, users search by submitting an image as their query.[12] Results may include similar images, web results, pages with the image, and different resolutions of the image.

The precision of Search by Image's results is higher if the search image is more popular.[21] Additionally, Google Search by Image offers a "best guess for this image" based on the descriptive metadata of the results.

Algorithm[]

The general steps that Search by Image takes to get from a submitted image to returned search results are as follows:[22]

  1. Analyze image: The submitted image is analyzed to find identifiers such as colors, points, lines, and textures.
  2. Generate query: These distinct features of the image are used to generate a search query.
  3. Match image: The query is matched against the images in Google's back end.
  4. Return results: Google's search and match algorithms return matching and visually similar images as results to the user.

See also[]

  • Bing Images
  • Image search
  • Picsearch
  • TinEye
  • Yahoo
  • Google Website Optimizer
  • Google PageSpeed Tools

References[]

  1. ^ Zipern, Andrew (July 11, 2001). "A Quick Way to Search For Images on the Web". The New York Times.
  2. ^ Schmidt, Eric. "The Tinkerer's Apprentice". Project Syndicate. Retrieved October 18, 2021.
  3. ^ LEITCH, LUKE (September 20, 2019). "Google It! Jennifer Lopez Wears That Grammys Dress—The One That Broke the Internet—20 Years Later at Versace". Vogue.
  4. ^ LANG, CADY (September 20, 2019). "J. Lo Shuts the Versace Runway Down in the Iconic Green Dress That Inspired Google Images". Time.
  5. ^ Schmidt, Eric (January 23, 2015). "The Tinkerer's Apprentice". Project Syndicate.
  6. ^ Nast, Condé (2019-09-20). "How Jennifer Lopez's Versace Dress Created Google Images". GQ. Retrieved 2021-12-08.
  7. ^ "Official Google Blog: Ooh! Ahh! Google Images presents a nicer way to surf the visual web". Blogger. July 20, 2010.
  8. ^ CALORE, MICHAEL (February 21, 2007). "Google Rolls Back Image Search Design". Wired.
  9. ^ "Similar Images graduates from Google Labs". Blogger. October 27, 2009.
  10. ^ Parr, Ben (20 July 2010). "Google Image Search Gets an Overhaul". Mashable.
  11. ^ Mack, Eric (May 10, 2011). "Google Wins the War Against Bing Images". PC World.
  12. ^ a b Kincaid, Jason (June 14, 2011). "Google Search By Image: Use A Snapshot As Your Search Query". TechCrunch.
  13. ^ Knight, Shawn (December 13, 2012). "Google updates image search algorithm, makes it harder to find porn". TechSpot.
  14. ^ Weber, Harrison (December 12, 2012). "Google Tweaks Explicit Search Algorithm". The Next Web.
  15. ^ Whittaker, Zack (December 12, 2012). "Google.com now 'censors' explicit content from image searches". ZDNet.
  16. ^ WARREN, CHRISTINA (December 12, 2012). "Explicit Images on Google: Now Harder to Find". Mashable.
  17. ^ a b Southern, Matt (December 18, 2020). "Google: Sites With Any Adult Content Won't Show Rich Results". .
  18. ^ Schwartz, Barry (January 18, 2013). "Google Image Search Negative Keyword Feature Not Working". Search Engine Roundtable.
  19. ^ Kastrenakes, Jacob (February 15, 2018). "Google removes 'view image' button from search results to make pics harder to steal". The Verge.
  20. ^ Schoon, Ben (29 August 2019). "Google Images quietly removes 'exact size' and 'larger than' search filters". 9to5Google. Retrieved 7 August 2021.
  21. ^ "Reverse Image Search". Google.
  22. ^ How Search by Image works. Google. July 20, 2011. Archived from the original on 2021-12-15 – via YouTube.

External links[]

Media related to Google Images at Wikimedia Commons

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