Title :
A Semantic Annotation Method for Network Image
Author_Institution :
Dept. of Comput., Fujian Normal Univ., Fuqing, China
Abstract :
This paper presents a semantic annotation method of network image, by calculating the semantic weight of different types of relevant texts, and the bi-structure information between related texts. Our experiments show that this method is effective.
Keywords :
image classification; text analysis; bistructure information; network image; semantic annotation method; semantic weight; text; Adaptation models; Data models; Estimation; Labeling; Semantics; Training; Visualization; network image; semantic annotation; semantic weight;
Conference_Titel :
Industrial Control and Electronics Engineering (ICICEE), 2012 International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4673-1450-3
DOI :
10.1109/ICICEE.2012.478
