REAL TIME ASSISTANCE IN PHOTOGRAPHY USING SOCIAL MEDIA

Abstract

In the last decade, we have seen significant improvement in the ease and cost of capturing photographs. However, the aesthetic quality of the content captured by an amateur user still needs substantial improvement. The advancement in digital photography, sensor-technology, wireless-networks and social-media provides us an opportunity to enhance the photography experience of users. This research work aims at providing real-time photography assistance to users by leveraging on camera sensors and social media content. The research is mainly focused on two different aspects of user experience in photography. The first component focuses on camera guidance and the second component is focused on location recommendation for photography. In our first contribution, we developed computational models based on machine learning which can provide real-time camera guidance to users for capturing high-quality photographs. In the second contribution, we focus on location recommendation for photography to improve the experience of users at tourist locations.