Rate Adaptation for Learned Two-layer B-frame Coding without Signaling Motion Information

Hong Sheng Xie*, Yi Hsin Chen, Wen Hsiao Peng, Martin Benjak, Jorn Ostermann

*此作品的通信作者

研究成果: Conference contribution同行評審

摘要

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.

原文English
主出版物標題2023 IEEE International Conference on Visual Communications and Image Processing, VCIP 2023
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9798350359855
DOIs
出版狀態Published - 2023
事件2023 IEEE International Conference on Visual Communications and Image Processing, VCIP 2023 - Jeju, Korea, Republic of
持續時間: 4 12月 20237 12月 2023

出版系列

名字2023 IEEE International Conference on Visual Communications and Image Processing, VCIP 2023

Conference

Conference2023 IEEE International Conference on Visual Communications and Image Processing, VCIP 2023
國家/地區Korea, Republic of
城市Jeju
期間4/12/237/12/23

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