Machine learning approach for exploring rock arts through the cloud infrastructure

Abstract

This paper is aimed at proposing a machine learning approach to analyze and make sense out of the ancient rock arts by exploring them through cloud infrastructure. The visual language of the rock art is proposed to be interpreted and transformed into the current language of human cognition. The rock arts can be captured as 3D motion pictures; ultrasonically detected images; pictures captured using laser sensors and thermography techniques. Since the countries across the Globe are rich in culture and also diverse in nature, rock arts have been explored and keeping on exploring more in quantity, the rock arts information collected through the above said methods can be represented and processed using cloud infrastructure. Further, using machine learning algorithms in the cloud is proposed, to arrive at definite, meaningful information from rock arts. Through the machine learning approach, the symbols represented by rock arts could be matched with the twenty six English alphabets. The proposed work is the interpretation of the olden rock art scripts and hence to predict the meaning that they wish to convey.