Automatic Meta-Data Annotation of Image Region

Abstract

Automatic meta-data annotation of images region is essentially important for Cross-Media Information Retrieval between texts and images. In this paper, we propose an automatic meta-data annotation of images region. We apply and discuss Gaussian mixture models for this problem. The annotation meta-data of each region is prepared from top 5 of the log likelihood. This method can annotate a number of language meta-data because it annotates the language meta-data in each region. The experimental results show that the accuracy of automatic annotation meta-data to top 5 achieved about 70%.