arXiv Computer Vision By Xuewei Meng, Chuanmin Jia, Jing Cui, Shanshe Wang, Siwei Ma

Flexible-Region Based Adaptive In-Loop Filter for Video Coding

Read the original on arXiv Computer Vision →

The paper proposes a Flexible-Region Based Adaptive In-Loop Filter (FRALF) for video coding, extending the existing Adaptive Loop Filter (ALF) used in AVS3 by introducing multiple region partition templates such as 2×4, 4×4, 4×8, and 8×8. It also presents a filter coefficient merging algorithm that estimates distortion levels across different partition regions to further improve coding efficiency. Experimental results demonstrate that FRALF outperforms the current region-based ALF in AVS3 while keeping complexity increases relatively low.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Computer Vision.

arXiv Computer Vision
Sep 22

Optimized Adaptive Loop Filter in Versatile Video Coding

arXiv:2607.05737v3 Announce Type: replace Abstract: In the Versatile Video Coding~(VVC) standard, adaptive loop filter~(ALF), including Geometry transformation-based Adaptive Loop Filter~(GALF) and C...

By Xuewei Meng, Jiaqi Zhang, Chuanmin Jia, Xinfeng Zhang, Shanshe Wang, Siwei Ma
arXiv Computer Vision
Sep 7

Scalable Neural Video Representation Compression

Scalable Neural Video Representation Compression (S-NVRC) introduces a scalable implicit neural representation (INR) video codec that supports fine-grained bitrate and decoding‑complexity scalability from a single embedded bitstream. It uses a coarse‑to‑fine prefix for feature grids and a nested prefix for network layers, enabling a wide range of operating points while maintaining a single encoding. On the UVG dataset, S‑NVRC outperforms SHM 12.4 and multi‑layer VTM‑20.0 by 43.7 % and 5.6 % in BD‑rate, respectively, and offers flexible complexity scalability.

By Tianhao Peng, Ho Man Kwan, Fan Zhang, Shan Liu, David Bull