Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | 2023 IEEE International Conference on Visual Communications and Image Processing, VCIP 2023 |
| Herausgeber (Verlag) | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (elektronisch) | 9798350359855 |
| ISBN (Print) | 979-8-3503-5986-2 |
| Publikationsstatus | Veröffentlicht - 2023 |
| Veranstaltung | 2023 IEEE International Conference on Visual Communications and Image Processing, VCIP 2023 - Jeju, Südkorea Dauer: 4 Dez. 2023 → 7 Dez. 2023 |
Publikationsreihe
| Name | IEEE International Conference on Visual Communications and Image Processing |
|---|---|
| ISSN (Print) | 1018-8770 |
| ISSN (elektronisch) | 2642-9357 |
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.
ASJC Scopus Sachgebiete
- Informatik (insg.)
- Computernetzwerke und -kommunikation
- Informatik (insg.)
- Maschinelles Sehen und Mustererkennung
- Informatik (insg.)
- Hardware und Architektur
- Informatik (insg.)
- Signalverarbeitung
- Ingenieurwesen (insg.)
- Medientechnik
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- BibTex
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2023 IEEE International Conference on Visual Communications and Image Processing, VCIP 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (IEEE International Conference on Visual Communications and Image Processing).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Rate Adaptation for Learned Two-layer B-frame Coding without Signaling Motion Information
AU - Xie, Hong Sheng
AU - Chen, Yi Hsin
AU - Peng, Wen Hsiao
AU - Benjak, Martin
AU - Ostermann, Jorn
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
KW - B-frame coding
KW - content-Adaptive bit allocation
KW - Learned video compression
UR - http://www.scopus.com/inward/record.url?scp=85184857498&partnerID=8YFLogxK
U2 - 10.1109/VCIP59821.2023.10402774
DO - 10.1109/VCIP59821.2023.10402774
M3 - Conference contribution
AN - SCOPUS:85184857498
SN - 979-8-3503-5986-2
T3 - IEEE International Conference on Visual Communications and Image Processing
BT - 2023 IEEE International Conference on Visual Communications and Image Processing, VCIP 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 IEEE International Conference on Visual Communications and Image Processing, VCIP 2023
Y2 - 4 December 2023 through 7 December 2023
ER -