Perceptual Image Hashing Via Feature Points: Performance Evaluation and Tradeoffs

By Vishal Monga, Brian L. Evans. IEEE Transactions on Image Processing, 2006

377 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/f3f8718351344e09e2fd0bc94b72b4bc7a61315c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Emiliano De Cristofaro
2. Gianluca Stringhini
3. Michael Sirivianos

Citations in the corpus

• On the Origins of Memes by Means of Fringe Web Communities (2018, methodology): “We use the Perceptual Hashing (pHash) algorithm [65] to calculate a fingerprint of each image in such a way that any two images that look similar to the human eye map to a “similar” hash value.”