Identifying tourist destinations from movie scenes using Deep Learning
This addresses a niche problem for tourism and movie enthusiasts, but it is incremental as it applies existing deep learning techniques to a new application area.
The paper tackles the problem of identifying tourist destinations from movie scenes by developing a deep learning model trained on a dataset of global tourism spots, enabling viewers to recognize real-world locations in films.
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.