The Open Cybernetics & Systemics Journal

2015, 9 : 367-370
Published online 2015 May 29. DOI: 10.2174/1874110X01509010367
Publisher ID: TOCSJ-9-367

A Method of the Semantic on Image Auto-Annotation

Huo Lin , Liu Xianwei and Huang Baohua
School of Computer and Electronic Information, Guangxi University, Guangxi, Nanning, 530000, P.R. China.

ABSTRACT

Recently, due to the existence of semantic gap between image visual features and human concepts, the semantic of image auto-annotation has become an important topic. Firstly, by extract low-level visual features of the image, and the corresponding Hash method, mapping the feature into the corresponding Hash coding, eventually, transformed that into a group of binary string and store it, image auto-annotation by search is a popular method, we can use it to design and implement a method of image semantic auto-annotation. Finally, Through the test based on the Corel image set, and the results show that, this method is effective.

Keywords:

Color correlograms, hash code, image auto-annotation, image retrieval.