Automatic Meta-Data Annotation of Image Region
Daichi Koizumi, Masashi Ohnishi, S. Tsuge, Masami Shishibori, Kenji Kita · 2006
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%.