PDH : Probabilistic deep hashing for faster image retrieval
Searching an enormous collection of images such as those for available for vein patterns or faces requires a lot of calculation time and memory consumption. If we can establish fast and light-weight image retrieval, it will be possible to verify the authorized persons in scenes such as hands-free payment, access control or to identify a suspicious person in immigration control and public spaces. In this blog, we introduce our Probabilistic Deep Hashing (PDH) for extremely fast image matching. In the PDH, images are converted into hash codes represented by compact binary vectors using deep learning. The hash code can be matched more than 100 million times per second, and large-scale image retrieval can be performed rapidly.
