An adaptive Lagrange multiplier determination method for rate-distortion optimisation in hybrid video codecs
원문 초록
This paper describes an adaptive Lagrange multiplier determination method for rate-quality optimisation in video compression. Inspired by the experimental results of a Lagrange multiplier selection test, the presented approach adaptively estimates the optimum Lagrange multiplier for different video content, based on distortion statistics of recently encoded frames. The proposed algorithm has been fully integrated into both the H.264 and HEVC reference codecs, and is used in rate-distortion optimisation for encoding B frames. The results show promising (up to 11% on the sequences tested) overall bitrate savings, for a minimal increase in complexity, on various types of test content based on Bjontegaard delta measurements.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
Video Compression for Spatiotemporal Earth System Data
Video Compression Commander: Plug-and-Play Inference Acceleration for Video Large Language Models
Higher fidelity perceptual image and video compression with a latent conditioned residual denoising diffusion model
BiECVC: Gated Diversification of Bidirectional Contexts for Learned Video Compression
FG-DFPN: Flow Guided Deformable Frame Prediction Network
Rethinking Video Tokenization: A Conditioned Diffusion-based Approach
토론
이 논문과 연결된 포럼 글이 아직 없습니다.