My research interests include image processing, machine learning, and remote sensing. I solve problems in digital multimedia, cloud imaging, and solar and renewable energy.
I am currently working on the following research themes. Please navigate into the individual research themes for more details.
This project involves designing an advertisement detection- and integration- system for multimedia videos. It is useful for next-generation online publicity (viz. product placement and embedded marketing), wherein advertisements are seamlessly integrated into the video scenes. We use deep-learning based techniques for determining if a video frame contains an existing advert, and for accurate localization of adverts in the selected video frame. Subsequently, new adverts are seamlessly implanted into the original video, to create a new augmented video. [read more]
In this project, we develop low-cost, high resolution, ground-based sky cameras for imaging the sky scene. These cameras capture continuous stream of images, which are essential to learn cloud dynamics and understand various atmospheric events. We devise state-of-the-art image segmentation and image classification algorithms that computes automated cloud coverage data, recognizes cloud types and estimates the cloud-base height. [read more]
In this project, we use a multi-modal data integration approach, in using various sensors (camera images + weather station recordings) to provide useful insights about solar energy. We use image- and weather-station- data for accurate solar energy estimation and forecasting. This is useful in the field of photovoltaic (PV) generation and integration. [read more]