Video conversion has become an essential task in today's digital world, with numerous applications requiring video content to be adapted for various platforms, devices, and playback scenarios. This paper presents a novel algorithm for real-time video conversion and optimization, capable of handling multiple input formats, resolutions, and codecs. Our approach leverages advanced techniques in video processing, transcoding, and machine learning to achieve high-quality conversions while minimizing computational resources and latency.
"An Efficient Algorithm for Real-Time Video Conversion and Optimization for Multiple Platforms" Video conversion has become an essential task in