An Efficient Semantic Image Classification Method
Xuelong Li · Journal of Circuits and Systems · 2002
An efficient method for fast-indexing image retrieval based on simple single feature is proposed. The algorithm of this method performs well on large high-dimension image databases. Good results have been attained from experiments for both Indoor/Outdoor and City/Landscape problems on two independent image databases separately. There are 7537 images in the trained set, while the tested set includes 5000 images. Compared with Bayesian Classifier and Support Vector Machine, Using this method, the executive speed can be accelerated greatly.