This invention describes a way to search for specific parts of objects within a large collection of images. It works by first automatically examining every picture to identify unique visual details of the objects inside them. Then, a user can provide an example image or visual characteristic, and the system will find other pictures that contain objects with similar visual details in a specific part.
Why it matters: Filed before modern deep learning revolutionized image recognition. Identifying and comparing visual characteristics of object portions, which was complex in 2007, is now highly accurate and scalable with current AI models.
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