High-Level Semantic Based Image Characterization Using Artificial Neural Networks

Low-level attributes such as color, shape and texture generally fail in describing the high-level semantic concepts. This work presents, through the formation of a high- level characteristics vector, the representation of the subjective knowledge used by humans for the verification of which aspects are most important for image characterization. Such vector will be formed by using the Artificial Intelligence techniques, more specifically the Artificial Neural Networks, which will generate, through predefined examples, the low-level characteristics forming the new high- level vector, making image retrieval possible. Finally, some tests results are presented and discussed to demonstrate the potentiality of the method.