Research and Application of Content-based Image Hash Retrieval Algorithm

Abstract

In order to store and manage a large amount of image information, we built a database retrieval system and studied and applied content-based image retrieval algorithms. We found that the difference hashing algorithm performs better than the perceptual hashing algorithm, the mean hashing algorithm and the histogram feature extraction algorithm in the scenario of handling a large number of images. Finally, we applied the difference-value hashing algorithm to a database retrieval system for a film festival to achieve in storing and retrieving a large amount of film materials.