Dhruva P. 2023 | BASIS Independent Silicon Valley
- Project Title: Revamping Movies with AI
- Basis Independent Advisor: Rene Flood
- Internship Location: Polygence
- Onsite Mentor: Ethan Matlin
Because of the simple recording equipment in the early to mid 20th century, hundreds of incredible movies have been stuck with black-and-white video and patchy, static-like audio. Many have forgotten about these classic films and many more refuse to try and watch these movies because of the poor video and audio. Recent advancements in graphical and audio manipulation through computer science models have made it possible to alter each of these fields. By mapping black and white pixels to corresponding red, green, and blue pixels, I am working to transform black-and-white video to colored video. As for audio, I am isolating certain sounds through signal processing, amplify them, and reduce background static, yielding a much clearer audio in the overall film. Combining these two methods, with the help of research mentors at Polygence, would create a unique model that unites both graphical and audio manipulation for proper refinement of vintage films. With such a model, old movies could be easily converted to more modern formats and would be widely more accessible to viewers.