In the Google search for images will be sorted by topic.
Google has announced that within a week in the search for images will sort by topic.
As explained when you search for images, it is sometimes difficult to find the right words to describe what you mean. For example, when you think about London, you can imagine the famous clock tower or the big Ferris wheel. Sometimes you may forget the names of these sights, but you remember how they look. For this purpose, for searching by pictures, the sorting function by themes has been developed.
When you search for [London], initially you will see the corresponding images in order of relevance. When you click on the “Sort by subject” button in the left pane, you will see images divided into categories, which will narrow the search area and help you find the photo of London you need.
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Sorting by topic will show that some of the most popular images associated with London are photographs of the London Eye, Big Ben, the London Bridge and the night city. Sorting will help you realize: “Ah, this big tower clock is called Big Ben, that's what I was looking for!”. After that you can click on the “Big Ben” group to find the best image in this group.
This function can also be used to study categories of general subjects, for example, types of flowers or dog breeds. For example, if you want to give someone flowers, but you only know how that person’s favorite flowers look, you can sort the images by topic to see different types of flowers and find out the name of the ones you are looking for. Watch the video to learn more about how sorting can help you find the image you need:
Sorting by topic uses the same algorithms as searching for similar images , and Image Swirl . These algorithms determine the relationship between images found on the Internet and distribute them into visual groups. Looking at multiple sources of similarity, such as pixel values ​​and semantic relationships, and analyzing the vast amounts of data, Google can create meaningful links and groups among images.
Sort will appear on almost everyone in every domain and language during the week.
As explained when you search for images, it is sometimes difficult to find the right words to describe what you mean. For example, when you think about London, you can imagine the famous clock tower or the big Ferris wheel. Sometimes you may forget the names of these sights, but you remember how they look. For this purpose, for searching by pictures, the sorting function by themes has been developed.
When you search for [London], initially you will see the corresponding images in order of relevance. When you click on the “Sort by subject” button in the left pane, you will see images divided into categories, which will narrow the search area and help you find the photo of London you need.
')
Sorting by topic will show that some of the most popular images associated with London are photographs of the London Eye, Big Ben, the London Bridge and the night city. Sorting will help you realize: “Ah, this big tower clock is called Big Ben, that's what I was looking for!”. After that you can click on the “Big Ben” group to find the best image in this group.
This function can also be used to study categories of general subjects, for example, types of flowers or dog breeds. For example, if you want to give someone flowers, but you only know how that person’s favorite flowers look, you can sort the images by topic to see different types of flowers and find out the name of the ones you are looking for. Watch the video to learn more about how sorting can help you find the image you need:
Sorting by topic uses the same algorithms as searching for similar images , and Image Swirl . These algorithms determine the relationship between images found on the Internet and distribute them into visual groups. Looking at multiple sources of similarity, such as pixel values ​​and semantic relationships, and analyzing the vast amounts of data, Google can create meaningful links and groups among images.
Sort will appear on almost everyone in every domain and language during the week.
Source: https://habr.com/ru/post/118953/
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