Bit Rate Matching Algorithm Optimization in JPEG-AI Verification Model
Jia P, Koyuncu AB, Mao J, Cui Z, Ma Y, Guo T, Solovyev T, Karabutov A, Zhao Y, Wang J, Alshina E, Kaup A (2024)
Publication Type: Conference contribution
Publication year: 2024
Publisher: Institute of Electrical and Electronics Engineers Inc.
Conference Proceedings Title: 2024 Picture Coding Symposium, PCS 2024 - Proceedings
Event location: Taichung, TWN
ISBN: 9798350358483
DOI: 10.1109/PCS60826.2024.10566454
Abstract
The research on neural network (NN) based image compression has shown superior performance compared to classical compression frameworks. Unlike the hand-engineered transforms in the classical frameworks, NN-based models learn the non-linear transforms providing more compact bit represen-tations, and achieve faster coding speed on parallel devices over their classical counterparts. Those properties evoked the attention of both scientific and industrial communities, resulting in the standardization activity JPEG-AI. The verification model for the standardization process of JPEG-AI is already in development and has surpassed the advanced VVC intra codec. To generate reconstructed images with the desired bits per pixel and assess the BD-rate performance of both the JPEG-AI verification model and VVC intra, bit rate matching is employed. However, the current state of the JPEG-AI verification model experiences significant slowdowns during bit rate matching, resulting in suboptimal performance due to an unsuitable model. The proposed methodology offers a gradual algorithmic optimization for matching bit rates, resulting in a fourfold acceleration and over 1% improvement in BD-rate at the base operation point. At the high operation point, the acceleration increases up to sixfold.
Authors with CRIS profile
Panqi Jia
Lehrstuhl für Multimediakommunikation und Signalverarbeitung
Andre Kaup
Lehrstuhl für Multimediakommunikation und Signalverarbeitung
Involved external institutions
China (CN)How to cite
APA:
Jia, P., Koyuncu, A.B., Mao, J., Cui, Z., Ma, Y., Guo, T.,... Kaup, A. (2024). Bit Rate Matching Algorithm Optimization in JPEG-AI Verification Model. In 2024 Picture Coding Symposium, PCS 2024 - Proceedings. Taichung, TWN: Institute of Electrical and Electronics Engineers Inc..
MLA:
Jia, Panqi, et al. "Bit Rate Matching Algorithm Optimization in JPEG-AI Verification Model." Proceedings of the 2024 Picture Coding Symposium, PCS 2024, Taichung, TWN Institute of Electrical and Electronics Engineers Inc., 2024.
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