@inproceedings{b60e35ecc2f3452d8c6d9a9dd3b42442,
title = "Rate Adaptation for Learned Two-layer B-frame Coding without Signaling Motion Information",
abstract = "This paper explores the potential of a learned two-layer B-frame codec, known as TLZMC. TLZMC is one of the few early attempts that deviate from the hybrid-based coding architecture by skipping motion coding. With TLZMC, a low-resolution base layer is utilized to encode temporally unpredictable information. We address the question of whether adapting the base-layer bitrate can achieve better rate-distortion performance. We apply the feature map modulation technique to enable per-frame bitrate adaptation of the base layer. We then propose and compare three online search strategies for determining the base-layer rate parameter: per-level brute-force search, per-level greedy search, and per-frame greedy search. Experimental results show that our top-performing search strategy achieves 0.6%-15.8% Bjontegaard-Delta rate savings over TLZMC.",
keywords = "B-frame coding, content-Adaptive bit allocation, Learned video compression",
author = "Xie, {Hong Sheng} and Chen, {Yi Hsin} and Peng, {Wen Hsiao} and Martin Benjak and Jorn Ostermann",
year = "2023",
doi = "10.1109/VCIP59821.2023.10402774",
language = "English",
isbn = "979-8-3503-5986-2",
series = "IEEE International Conference on Visual Communications and Image Processing",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2023 IEEE International Conference on Visual Communications and Image Processing, VCIP 2023",
address = "United States",
note = "2023 IEEE International Conference on Visual Communications and Image Processing, VCIP 2023 ; Conference date: 04-12-2023 Through 07-12-2023",
}