Efficient Intelligent Automatic Image Annotation Method based on Machine Learning Techniques

Abstract

This study proposes an image automatic annotation method based on machine learning techniques. The method can automatically analyze the unlabeled videos, and extract the interesting samples that the user needs. The new labeled image will be added to the training sets, and the current model will become the pretrained model for our new one, by this method we can improve the recognition performance for various machine learning models. In addition, this research provides a machine learning module interface which allow users to choose proper model, such as SVM or deep learning techniques, in different situation.