Supervised tree content based search algorithm for multimedia image databases
Muguraș Mocofan, Iasmina Ermalai, Marian Bucos, Mihai Onița, Bogdan Drăgulescu · 2011
For indexing an image databases there are used many features. In this paper are used features like histograms for the color components, stochastic moments, few parameters of the co-occurrences matrix and the Gabor filters decomposition. Using all of them we obtain good performance in the field of content-based image indexing and retrieval. There are some speed problems because are many features used in the search process. Here, I present an algorithm for indexing and retrieval, which use a supervised tree algorithm for speed increasing. The area of applications is very wide: multimedia documents, transaction systems, medical application.