Google images is a property search service for Google that allows users to search the World Wide Web for Image content. It was introduced on July 12, 2001 due to the demand for photos of Jennifer LopezIt’s green Versace dress that normal Google search failed. In 2011, reverse image search functionality was added.
When searching for an image, a miniature of each corresponding image is displayed. When the user clicks on a thumbnail, the image is displayed in a larger size and users can visit the page where the image is used.
Beginnings and expansion (2001-2011)[[[[To edit]
In 2000, Google search the results were limited to simple pages of text with links. Google’s developers worked even harder on development and realized that an image search tool was needed to answer “the most popular search query” they had seen so far: Jennifer Lopez in it exotic green Versace dress. As a result, Google Image Search was launched.
In 2001, 250 million images were indexed in the Image Search. That number would eventually grow to 1 billion images in 2005 and 10 billion in 2010.
In early 2007, Google implemented an updated interface for image search, where information about an image, such as resolution and URL, was hidden until the user hovered over the thumbnail. This was stopped after a few weeks.
On October 27, 2009, Google Images added an image search feature that can be used to find similar images.
On July 20, 2010, Google made another update to the Google Images interface, which reimplemented hiding the details of the image down to the mouse.
In May 2011, Google introduced a subject classification feature for an overview of the visual category schema for a search query.
A month later, in June 2011, Google Images added an Image Search feature that allowed 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, loading one or copying and pasting a URL that points to an image on the search bar.
New algorithm and censorship charges (2012 – present)[[[[To edit]
On December 11, 2012, the Google Images search engine algorithm was changed again, in the hope of preventing pornographic images are displayed when non-pornographic search terms were used. According to Google, pornographic images would still appear as long as the search term was specifically pornographic; otherwise, they would not appear. Although Google explicitly stated that “it was not censoring any adult content”, it was immediately noted that, even when entering terms such as “blow job“or”boob, “no explicit results were shown. The only alternative option was to activate an even more stringent filter, which would refuse to search for the terms mentioned above. It was also noted that users could no longer exclude keywords from their searches as before.
On February 15, 2018, the Google Images interface was modified to meet the terms of an agreement and licensing partnership with Getty Images. The “View image” button (the deep link for the image itself on its source server) has been removed from image thumbnails. This change aims to discourage users from directly viewing the full-size image (although this is not frustrated by using the browser’s context menu in the embedded thumbnail) and to encourage them to view the image in its appropriate context (which can also include attribution and copyright information) on their respective web page. The “Search by image” button was also underestimated, as reverse image search can be used to find high-resolution copies of copyrighted images. Google also agreed to make the copyright notice within the interface more prominent.
Search by image resource[[[[To edit]
Google Images has an Image Search feature to run reverse image searches. Unlike the traditional image recovery, this feature eliminates the need to enter keywords and terms in the Google search box. Instead, users search by sending an image as their query. Results can include similar images, web results, pages with the image and different image resolutions.
The general steps that Image Search takes to move from an image sent to the search results returned are as follows:
- Analyze image: The image sent is analyzed to find identifiers such as colors, points, lines and textures.
- Generate query: These distinct features of the image are used to generate a search query.
- Match image: The query is compared to the images on Google pages Internal process.
- Return results: Google’s search and match algorithms return matching and visually similar images as results to the user.
See too[[[[To edit]
Media related to Google images on Wikimedia Commons