Data such as from videos are high-dimensional. Abstracting high level information from videos is difficult. There are many approaches such as feature selection, to get around the high-dimensional barrier. However, purely numerical data driven selected features are usually not meaningful or understandable. I am looking into the approaches that can meaningfully abstract high level features from low level features.