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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 2024Show all

12 papers · 1 filter

eess.IV2024

Compact Visual Data Representation for Green Multimedia -- A Human Visual System Perspective

Peilin Chen, Xiaohan Fang, Meng Wang +2

The Human Visual System (HVS), with its intricate sophistication, is capable of achieving ultra-compact information compression for visual signals. This remarkable ability is coupl…

cs.CV2024

Predicting Satisfied User and Machine Ratio for Compressed Images: A Unified Approach

Qi Zhang, Shanshe Wang, Xinfeng Zhang +3

Nowadays, high-quality images are pursued by both humans for better viewing experience and by machines for more accurate visual analysis. However, images are usually compressed bef…

eess.IV2024

Point Cloud-Assisted Neural Image Compression

Ziqun Li, Qi Zhang, Xiaofeng Huang +3

High-efficient image compression is a critical requirement. In several scenarios where multiple modalities of data are captured by different sensors, the auxiliary information from…

cs.MM2024

Advanced Learning-Based Inter Prediction for Future Video Coding

Yanchen Zhao, Wenhong Duan, Chuanmin Jia +2

In the fourth generation Audio Video coding Standard (AVS4), the Inter Prediction Filter (INTERPF) reduces discontinuities between prediction and adjacent reconstructed pixels in i…

cs.MM2024

Rethinking Bjøntegaard Delta for Compression Efficiency Evaluation: Are We Calculating It Precisely and Reliably?

Xinyu Hang, Shenpeng Song, Zhimeng Huang +3

For decades, the Bjøntegaard Delta (BD) has been the metric for evaluating codec Rate-Distortion (R-D) performance. Yet, in most studies, BD is determined using just 4-5 R-D data p…

cs.CV2024★ 1 cited

A Semantic-Aware and Multi-Guided Network for Infrared-Visible Image Fusion

Xiaoli Zhang, Liying Wang, Libo Zhao +2

Multi-modality image fusion aims at fusing modality-specific (complementarity) and modality-shared (correlation) information from multiple source images. To tackle the problem of t…