  Video compression technology is essential for transmitting and storing
videos. Many video compression methods reduce information in videos by removing
high-frequency components and utilizing similarities between frames.
Alternatively, the implicit neural representations (INRs) for videos, which use
networks to represent and compress videos through model compression. A
conventional method improves the quality of reconstruction by using frame
features. However, the detailed representation of the frames can be improved.
To improve the quality of reconstructed frames, we propose a method that uses
low-resolution frames as residual connection that is considered effective for
image reconstruction. Experimental results show that our method outperforms the
existing method, HNeRV, in PSNR for 46 of the 49 videos.
