A Novel Image Structural Semantics Modeling

摘要：

In this paper, we propose a novel image structural semantics model. The detailed process of mathematical inference for the whole system is developed. 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 ⅠT by a transformation function set φ 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.

作者: Yu weiyu Yu yinglin Xie shengli

作者单位: School of Electronic and Information South China University of Technology Guangzhou, GuangDong, China

会议类型: 国际会议

会议名称: 2006 International Conference on Communications,Circuits and Systems(第四届国际通信、电路与系统学术会议)

会议地点: 广西桂林

会议语种:英文

页码: 96-99

在线出版日期: 2006-06-25（万方平台首次上网日期，不代表论文的发表时间）