Compressed Domain Prior-Guided Video Super-Resolution for Cloud Gaming Content
Journal:
arXiv
Published Date:
Jan 3, 2025
Abstract
Cloud gaming is an advanced form of Internet service that necessitates local
terminals to decode within limited resources and time latency. Super-Resolution
(SR) techniques are often employed on these terminals as an efficient way to
reduce the required bit-rate bandwidth for cloud gaming. However, insufficient
attention has been paid to SR of compressed game video content. Most SR
networks amplify block artifacts and ringing effects in decoded frames while
ignoring edge details of game content, leading to unsatisfactory reconstruction
results. In this paper, we propose a novel lightweight network called Coding
Prior-Guided Super-Resolution (CPGSR) to address the SR challenges in
compressed game video content. First, we design a Compressed Domain Guided
Block (CDGB) to extract features of different depths from coding priors, which
are subsequently integrated with features from the U-net backbone. Then, a
series of re-parameterization blocks are utilized for reconstruction.
Ultimately, inspired by the quantization in video coding, we propose a
partitioned focal frequency loss to effectively guide the model's focus on
preserving high-frequency information. Extensive experiments demonstrate the
advancement of our approach.
