Reverse image search categorically falls under Content-Based Image Retrieval – CBIR technique that specifically bases its search on content with image file formats. Unlike in the normal search where the text file format is used, the search item in any search engine’s search bar is characterized by an image instead. The image supplied in the search bar is what formulates a search query.
When is it used?
Reverse image search incorporates the intellectual study of hundreds of thousands to millions of images in the cyberspace. Often, the technique is called upon as a result of lack of search terms that can correctly describe a situation or item in question. It eliminates the struggle of to go through numerous guesswork of an item which might process and relay incorrect results. Reverse search can also accompany cases where the user wants to unmask the information specific for the search image; track down content creator among many other important details pertaining the image.
Notably, reverse image search has been recently used to counter threats of fake news. In such case scenario, it reveals the original and origin of the news being perpetuated through fake images. Reverse search gives you dozens of images that match your photo. However this might not get you anywhere but by luck, it might give you the original, unedited picture as well you can see which alterations were made.
Reverse search has been to date been incorporated in a handful of applications on the World Wide Web. Expected Google can’t miss in this list with its Google Image Search. Other platforms that are seen to support this functionality include TinEye, Picsearch, Pinterest, Picmatch among others.
How it works?
Google Reverse Image Search
Once the image is submitted, Google analyzes the image by mathematically manipulating the image by use of models based on shapes, lines, proportions, colors among other image elements. The image is then matched against an already existing index of images on Google’s index. Page analysis established within the indexed items compares the images to reveal similar or other versions of the search image. A description of what the search image implies is in turn given out. Images that are unique or never seen before might prove difficult for Google to produce matching results. Reverse Search substantially relies on images on the Web for efficient and resourceful functionality.
Reverse Image Search On Desktop
To perform reverse search on desktop;
Go to google.images.com
There are several ways to access it
- Drag and drop an image on the search bar
- Click on the camera icon to upload an image from your computer
- Paste the URL of the image on the web into the search bar.
Reverse Image Search On Mobile device
This method is limited to the desktop but can also be applicable on mobile by requesting for a desktop site in the mobile browser.
However, there are peculiar ways to perform a reverse search on mobile devices, both via browser and available applications.
Here is how you can go on with the reverse search on the mobile browser. As easier as it may appear on the desktop, the mobile device can prove horrific especially when you want to search for an image from the gallery of your device. While on google.images.com the camera icon won’t show up on its search bar. Therefore it’s mandatory that you switch to desktop site for the icon to show up. Then you opt for steps 2 and 3 of the desktop criterion.
Else for the web based image, long press for options the tap search image by Google. This works best when you are using Google Chrome as your browser.
Applications aren’t good at this so it’s even harder for me to recommend any application in the store. Nevertheless, if you are an app-holic you can gamble along with these; Search by Image, Reverse image, Image Search. Those can be found in Google play store. From Apple Store, you can take a ride on Veracity and Reversee.
As you toast for the impulse of the reverse image search you should be aware that the more popular the search image is, the higher the precision of the reverse image search.