A model of structural semantics of image

In this paper, a model of structure semantics of image is proposed. We describe the detailed process of mathematical inference for the whole system. The model applies the knowledge of topology, neural networks, and psychology. The system first builds a structure space T using the structure parameters extracted from an image or video segment, Then T is mapped to a structure information space I T by a transformation function set (p which is based on psychometric functions. The model introduces a new regulation based on psychology and neural networks for semantic analysis of image or video databases, and we call it psychological response neural network.