Identifying tourist destinations from movie scenes using Deep Learning
Mahendran Narayanan
Movies wield significant influence in our lives, playing a pivotal role in
the tourism industry of any country. The inclusion of picturesque landscapes,
waterfalls, and mountains as backdrops in films serves to enhance the allure of
specific scenarios. Recognizing the impact of movies on tourism, this paper
introduces a method for identifying tourist destinations featured in films. We
propose the development of a deep learning model capable of recognizing these
locations during movie viewing. The model is trained on a dataset comprising
major tourism destinations worldwide. Through this research, the goal is to
enable viewers to identify the real-world locations depicted in movie scenes,
offering a novel way to connect cinema with global travel experiences.