Bitrate Ladder

Bitrate ladders optimize video streaming by pre-determining efficient encoding parameters for various bandwidth conditions, aiming to deliver the highest quality video for a given bitrate. Current research focuses on predicting optimal bitrate ladders without exhaustive pre-encoding, employing deep learning models like recurrent neural networks and leveraging transfer learning with spatio-temporal features to improve prediction accuracy and efficiency. These advancements significantly reduce computational overhead and enable more content-aware adaptive streaming, leading to improved video quality and reduced bandwidth consumption for users.