Audio Description of Videos Using Machine Learning

This research paper proposes an innovative approach leveraging machine learning techniques to enhance the accessibility of visual content, such as movies and videos, for individuals with visual impairments. Our strategy is based on the usage of Audio Description, which enables viewers to understand visual context by offering a thorough audio description of the scenes, activities, and related audio in the video. Our model's main goal is to produce voice output captions that succinctly and vividly explain the events as they happen in the video. We tried this method on several videos across several domains, and it achieved great accuracy in providing audio descriptions for these videos. Regardless of their visual ability, our method guarantees that people with visual impairments may completely understand and appreciate the information. By bridging the accessibility gap, our research contributes to the creation of multimedia content that is more inclusive and valuable for all viewers.