TY  - CONF
AU  - Yifan Wang
AU  - Luka Murn
AU  - Luis Herranz
AU  - Fei Yang
AU  - Marta Mrak
AU  - Wei Zhang
AU  - Shuai Wan
AU  - Marc Gorriz Blanch
A2  - ICASSP
PY  - 2023//
TI  - Efficient Super-Resolution for Compression Of Gaming Videos
BT  - IEEE International Conference on Acoustics, Speech and Signal Processing
N2  - Due to the increasing demand for game-streaming services, efficient compression of computer-generated video is more critical than ever, especially when the available bandwidth is low. This paper proposes a super-resolution framework that improves the coding efficiency of computer-generated gaming videos at low bitrates. Most state-of-the-art super-resolution networks generalize over a variety of RGB inputs and use a unified network architecture for frames of different levels of degradation, leading to high complexity and redundancy. Since games usually consist of a limited number of fixed scenarios, we specialize one model for each scenario and assign appropriate network capacities for different QPs to perform super-resolution under the guidance of reconstructed high-quality luma components. Experimental results show that our framework achieves a superior quality-complexity trade-off compared to the ESRnet baseline, saving at most 93.59% parameters while maintaining comparable performance. The compression efficiency compared to HEVC is also improved by more than 17% BD-rate gain.
UR  - https://ieeexplore.ieee.org/document/10096031
UR  - http://dx.doi.org/10.1109/ICASSP49357.2023.10096031
N1  - LAMP; MACO
ID  - Yifan Wang2023
ER  -