A Improved SML Method for Semantic Auto-annotation of Image

Semantic auto-annotation of Image becomes focus in image retrieval Based on content. The two step semantic auto-annotation of image method is proposed. Firstly, a supervised multi-class labeling method (SML) is adopted to coarse annotation for image, then an optimal semantic tag annotation based on Ontology method (OOSTIA) is employed to fine annotate. There are four ways to extend coarse annotation result in the OOSTIA method, which can fully mine ample semantic information in images. The proposed method is compared to others, Experiments result show that the proposed method outperforms others.