Efficient Bitrate Ladder Construction using Transfer Learning and Spatio-Temporal Features

arXiv:2401.03195v2 Announce Type: replace-cross
Abstract: Providing high-quality video with efficient bitrate is a main challenge in video industry. The traditional one-size-fits-all scheme for bitrate ladders is inefficient and reaching the best content-aware decision computationally impractical due to extensive encodings required. To mitigate this, we propose a bitrate and complexity efficient bitrate ladder prediction method using transfer learning and spatio-temporal features. We propose: (1) using feature maps from well-known pre-trained DNNs to predict rate-quality behavior with limited training data; and (2) …

abstract arxiv challenge complexity construction cs.cv cs.lg cs.mm decision features industry quality temporal transfer transfer learning type video