16 citations · 20 across the 14 of their papers we have counts for
14 papers
A Tri-Dynamic Preprocessing Framework for UGC Video Compression
Fei Zhao, Mengxi Guo, Shijie Zhao +3
In recent years, user generated content (UGC) has become the dominant force in internet traffic. However, UGC videos exhibit a higher degree of variability and diverse characterist…
A Preprocessing Framework for Video Machine Vision under Compression
Fei Zhao, Mengxi Guo, Shijie Zhao +3
There has been a growing trend in compressing and transmitting videos from terminals for machine vision tasks. Nevertheless, most video coding optimization method focus on minimizi…
Frequency-Assisted Adaptive Sharpening Scheme Considering Bitrate and Quality Tradeoff
Yingxue Pang, Shijie Zhao, Haiqiang Wang +3
Sharpening is a widely adopted technique to improve video quality, which can effectively emphasize textures and alleviate blurring. However, increasing the sharpening level comes w…
Adaptive High-Frequency Preprocessing for Video Coding
Yingxue Pang, Shijie Zhao, Junlin Li +1
High-frequency components are crucial for maintaining video clarity and realism, but they also significantly impact coding bitrate, resulting in increased bandwidth and storage cos…
Region-Adaptive Video Sharpening via Rate-Perception Optimization
Yingxue Pang, Shijie Zhao, Mengxi Guo +2
Sharpening is a widely adopted video enhancement technique. However, uniform sharpening intensity ignores texture variations, degrading video quality. Sharpening also increases bit…
Spatial Degradation-Aware and Temporal Consistent Diffusion Model for Compressed Video Super-Resolution
Hongyu An, Xinfeng Zhang, Shijie Zhao +2
Due to storage and bandwidth limitations, videos transmitted over the Internet often exhibit low quality, characterized by low-resolution and compression artifacts. Although video…
MoE-DiffIR: Task-customized Diffusion Priors for Universal Compressed Image Restoration
Yulin Ren, Xin Li, Bingchen Li +5
We present MoE-DiffIR, an innovative universal compressed image restoration (CIR) method with task-customized diffusion priors. This intends to handle two pivotal challenges in the…
PromptCIR: Blind Compressed Image Restoration with Prompt Learning
Bingchen Li, Xin Li, Yiting Lu +5
Blind Compressed Image Restoration (CIR) has garnered significant attention due to its practical applications. It aims to mitigate compression artifacts caused by unknown quality f…
Optimal Transcoding Resolution Prediction for Efficient Per-Title Bitrate Ladder Estimation
Jinhai Yang, Mengxi Guo, Shijie Zhao +2
Adaptive video streaming requires efficient bitrate ladder construction to meet heterogeneous network conditions and end-user demands. Per-title optimized encoding typically traver…
Video Compression with Arbitrary Rescaling Network
Mengxi Guo, Shijie Zhao, Hao Jiang +2
Most video platforms provide video streaming services with different qualities, and the quality of the services is usually adjusted by the resolution of the videos. So high-resolut…
Self-Asymmetric Invertible Network for Compression-Aware Image Rescaling
Jinhai Yang, Mengxi Guo, Shijie Zhao +2
High-resolution (HR) images are usually downscaled to low-resolution (LR) ones for better display and afterward upscaled back to the original size to recover details. Recent work i…
Panoramic Video Salient Object Detection with Ambisonic Audio Guidance
Xiang Li, Haoyuan Cao, Shijie Zhao +3
Video salient object detection (VSOD), as a fundamental computer vision problem, has been extensively discussed in the last decade. However, all existing works focus on addressing…
AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results
Ren Yang, Radu Timofte, Xin Li +49
This paper reviews the Challenge on Super-Resolution of Compressed Image and Video at AIM 2022. This challenge includes two tracks. Track 1 aims at the super-resolution of compress…
NTIRE 2021 Challenge on Quality Enhancement of Compressed Video: Methods and Results
Ren Yang, Radu Timofte, Jing Liu +69
This paper reviews the first NTIRE challenge on quality enhancement of compressed video, with a focus on the proposed methods and results. In this challenge, the new Large-scale Di…