Big Data based Machine Learning approach for exploring rock arts

The rock art information as integrated through Service oriented architecture with cloud would be available in abundance; they could be processed in cloud using machine learning approaches. The proposed research explore the visual analysis of rock art, sustaining the finding of insights from complex rock art data that encompasses multiple dimensions, sources, data forms, time variants, and visual depictions. It is taken into consideration that the application of human judgment to make the best possible use of incomplete, inconsistent, and potentially deceptive information from rock arts. Big Data based image processing method is adopted, since the rock art images collected are possessing the characteristics of Big Data. The proposed sense making process involves the analytic workflow to help the requested client make sound decisions from the rock art information