A model of structural semantics of image

被引：0

作者：

Yu Weiyu ^{[1
]}

Jiang Yuanjiao ^{[1
]}

Yu Yinglin ^{[1
]}

机构：

[1] South China Univ Technol, Sch Elect & Informat Engn, Guangzhou 510640, Peoples R China

来源：

2006 IEEE INTERNATIONAL CONFERENCE ON SERVICE OPERATIONS AND LOGISTICS, AND INFORMATICS (SOLI 2006), PROCEEDINGS | 2006年

关键词：

structure semantics; information space; structure parameters;

D O I：

10.1109/SOLI.2006.236010

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

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.

引用

页码：931 / +

页数：2

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