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20122026
most citedImage and Video Compression with Neural Networks: A Review

462 citations · 1.9k across the 105 of their papers we have counts for

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Showing 2022Show all

12 papers · 1 filter

cs.CV2022

Perceptual Video Coding for Machines via Satisfied Machine Ratio Modeling

Qi Zhang, Shanshe Wang, Xinfeng Zhang +4

Video Coding for Machines (VCM) aims to compress visual signals for machine analysis. However, existing methods only consider a few machines, neglecting the majority. Moreover, the…

eess.IV2022★ 23 cited

Cross Modal Compression: Towards Human-comprehensible Semantic Compression

Jiguo Li, Chuanmin Jia, Xinfeng Zhang +2

Traditional image/video compression aims to reduce the transmission/storage cost with signal fidelity as high as possible. However, with the increasing demand for machine analysis…

cs.MM2022★ 48 cited

Consistent Quality Oriented Rate Control in HEVC via Balancing Intra and Inter Frame Coding

Wei Gao, Qiuping Jiang, Ronggang Wang +3

Consistent quality oriented rate control in video coding has attracted much more attention. However, the existing efforts only focus on decreasing variations between every two adja…

eess.IV2022★ 2 cited

Towards Hybrid-Optimization Video Coding

Shuai Huo, Dong Liu, Li Li +3

Video coding is a mathematical optimization problem of rate and distortion essentially. To solve this complex optimization problem, two popular video coding frameworks have been de…

cs.CV2022★ 6 cited

STIP: A SpatioTemporal Information-Preserving and Perception-Augmented Model for High-Resolution Video Prediction

Zheng Chang, Xinfeng Zhang, Shanshe Wang +2

Although significant achievements have been achieved by recurrent neural network (RNN) based video prediction methods, their performance in datasets with high resolutions is still…

cs.CV2022★ 1 cited

Hierarchical Similarity Learning for Aliasing Suppression Image Super-Resolution

Yuqing Liu, Qi Jia, Jian Zhang +4

As a highly ill-posed issue, single image super-resolution (SISR) has been widely investigated in recent years. The main task of SISR is to recover the information loss caused by t…