Automatic taxonomy induction for image collections

Abstract

User annotation of images has become a popular solution for image classification and retrieval. This paper reports a machine learning approach in taxonomy induction that applies image annotations involved in different levels of meaning making from the participants. Results of the study indicate the effectiveness of the method. The study suggests that the discussed machine learning procedures can be enhanced using the proposed approach.