A Model of Structural Semantics of Image

Author

Weiyu, Yu ; Yuanjiao, Jiang ; Yinglin, Yu

Author_Institution

Sch. of Electron. & Inf. Eng., South China Univ. of Technol., Guangzhou

fYear

2006

fDate

21-23 June 2006

Firstpage

931

Lastpage

935

Abstract

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 phi 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

Keywords

backpropagation; content-based retrieval; feature extraction; image classification; image retrieval; neural nets; psychology; video databases; image databases; image structural semantics model; mathematical inference; psychological response neural network; psychometric function; semantic analysis; structure information space; structure parameter extraction; transformation function set; video databases; video segment; Data mining; Humans; Image analysis; Image segmentation; Lighting; Mathematical model; Network topology; Neural networks; Psychology; Space technology; Information Space; Structure Parameters; Structure Semantics;

fLanguage

English

Publisher

ieee

Conference_Titel

Service Operations and Logistics, and Informatics, 2006. SOLI '06. IEEE International Conference on

Conference_Location

Shanghai

Print_ISBN

1-4244-0317-0

Electronic_ISBN

1-4244-0318-9

Type

conf

DOI

10.1109/SOLI.2006.329035

Filename

4125710