Review on statistical approaches for automatic image annotation
Syaifulnizam Abd Manaf, Md Jan Nordin · 2009
This paper will discuss the literature survey on statistical approaches for automatic annotation on digital images. There are some researches on image annotation and produced very good knowledge theoretically or technically and lead to produce such promising surveys. However, not all produced related knowledge on image annotation and discussing until the latest research on that area. This paper aims to cover the statistical approaches for automatic image annotation from it starts until the latest research finding. Using the earlier literature reviews, approaches, frameworks and evaluation results as guidelines, an attempt is made to outline the automatic image annotation which is combination of image analysis and statistical learning approaches. Summary and analysis of some of the approaches have been used as references to produce a framework in designing an automatic image annotation model.