Automated visual classification of indoor scenes and architectural styles

Abstract

The ability to automatically categorize a large number of new images that are being uploaded to real estate, furniture, and decoration websites, and personalized search functionality will be a great convenience for the users. In this study, modeling of types and architectural styles of indoor scenes is attempted using visual descriptors of different structures. The performance of the learned models is quantitatively measured on useful applications such as image classification and retrieval.