Overview of intelligent video coding: from model-based to learning-based approaches

S Ma, J Gao, R Wang, J Chang, Q Mao, Z Huang… - Visual Intelligence, 2023 - Springer
Intelligent video coding (IVC), which dates back to the late 1980s with the concept of
encoding videos with knowledge and semantics, includes visual content compact …

Learned video compression with efficient temporal context learning

D Jin, J Lei, B Peng, Z Pan, L Li… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In contrast to image compression, the key of video compression is to efficiently exploit the
temporal context for reducing the inter-frame redundancy. Existing learned video …

Advancing learned video compression with in-loop frame prediction

R Yang, R Timofte, L Van Gool - IEEE Transactions on Circuits …, 2022 - ieeexplore.ieee.org
Recent years have witnessed an increasing interest in end-to-end learned video
compression. Most previous works explore temporal redundancy by detecting and …

Spatial Decomposition and Temporal Fusion based Inter Prediction for Learned Video Compression

X Sheng, L Li, D Liu, H Li - … on Circuits and Systems for Video …, 2024 - ieeexplore.ieee.org
Video compression performance is closely related to the accuracy of inter prediction. It tends
to be difficult to obtain accurate inter prediction for the local video regions with inconsistent …

Learned video compression with adaptive temporal prior and decoded motion-aided quality enhancement

J Yang, C Yang, F Xiong, Y Zhai, R Wang - ACM Transactions on …, 2024 - dl.acm.org
Learned video compression has drawn great attention and shown promising compression
performance recently. In this article, we focus on the two components in the learned video …

B-canf: Adaptive b-frame coding with conditional augmented normalizing flows

MJ Chen, YH Chen, WH Peng - IEEE Transactions on Circuits …, 2023 - ieeexplore.ieee.org
Over the past few years, learning-based video compression has become an active research
area. However, most works focus on P-frame coding. Learned B-frame coding is under …

Uplink-Assist Downlink Remote Sensing Image Compression via Historical Referecing

H Wang, L Liao, J Xiao, W Lin… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The traditional strategy of acquiring satellite images involves transmitting compressed
satellite data to ground stations solely via the downlink, without utilizing the uplink. In this …

Bilateral Context Modeling for Residual Coding in Lossless 3D Medical Image Compression

X Liu, M Wang, S Wang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Residual coding has gained prevalence in lossless compression, where a lossy layer is
initially employed and the reconstruction errors (ie, residues) are then losslessly …

IBVC: Interpolation-driven B-frame video compression

C Xu, M Liu, C Yao, W Lin, Y Zhao - Pattern Recognition, 2024 - Elsevier
Learned B-frame video compression aims to adopt bi-directional motion estimation and
motion compensation (MEMC) coding for middle frame reconstruction. However, previous …

Maskcrt: Masked conditional residual transformer for learned video compression

YH Chen, HS Xie, CW Chen, ZL Gao… - … on Circuits and …, 2024 - ieeexplore.ieee.org
Conditional coding has lately emerged as the mainstream approach to learned video
compression. However, a recent study shows that it may perform worse than residual coding …