ICASSP 2025accepted0 citations
Integrating Adaptive Sampling for Optimal Learned Video Compression
Wuyang Cong, Yuzhuo Kong, Ming Lu, Lizhong Wang, Weijing Shi, Zhan Ma
Abstract
We propose a novel adaptive prediction network that dynamically determines the optimal sampling factor and Lagrangian multiplier for encoding each frame, guided by sequential information. By exploiting spatio-temporal redundancy through adaptive sampling, our method reduces bitrate consumption while preserving the reconstruction quality with adjusted rate-distortion coefficients. Experimental results demonstrate significant performance gains over representative learned video compression models across various datasets, with reduced encoding and decoding latency.
BibTeX
@inproceedings{icassp2025_integratingadapt,
title = {Integrating Adaptive Sampling for Optimal Learned Video Compression},
author = {Wuyang Cong and Yuzhuo Kong and Ming Lu and Lizhong Wang and Weijing Shi and Zhan Ma},
booktitle = {ICASSP 2025},
year = {2025}
}