There are services like TinEye (http://www.tineye.com) that allow users to upload an image and get similar images from the web. The results do not have to be exact copies but may include re-sizing, cropping and even small parts of other images. How does this search work? What are the most common approaches to this problem? Any nice research papers available?
Search Scholar for:
"An efficient parts-based near-duplicate and sub-image retrieval system"
"Efficient Nearduplicate Detection and Subimage Retrieval"
"Determining digital image origin using sensor imperfections".
Peruse http://www.visionbib.com/bibliography/applicat808.html#TT102839
Google Images provides a similar service to Chrome users.
Search Scholar for:
"An efficient parts-based near-duplicate and sub-image retrieval system"
"Efficient Nearduplicate Detection and Subimage Retrieval"
"Determining digital image origin using sensor imperfections".
Peruse http://www.visionbib.com/bibliography/applicat808.html#TT102839
Google Images provides a similar service to Chrome users.
That's the most common question about that how the reverse image search tool woks. This tool is especially designed to find the visually similar images on the internet.
The working of the such tools very simple. You can use the following website to perform the reverse image searcho with different 4 ways. I mean using android phone, Google, Yandex and bing.
https://seomagnifier.com/reverse-image-search
First of all the user upload the image using the URL or by uploading on the Google, Yandex, Yahoo or bing server and then the server automatically shows the all the very similar image with different sizes and that's it. If you want to check the paper, just simply take the snapshot of the cover contents and service. If you feel any problem just follow the attached snaps.
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