4 papers
Can LLMs Design Video Coding Tools? A Case Study on Planar Mode
Yingwen Zhang, Meng Wang, Liqiang He +1
This paper explores whether large language models (LLMs) can design video coding tools, a highly challenging task due to the intricate algorithmic coupling of tool modifications. I…
LLM-Driven Heuristic Frame-Level Quantization Parameter Adaptation for VVenC
Liqiang He, Yingwen Zhang, Riyu Lu +2
Optimal frame-level quantization parameter (QP) allocation remains a persistent challenge in modern video encoders. The fixed-QP scheme widely adopted in practical systems is inher…
DCVC-MV: Deep Contextual Multiview Video Compression with Efficient Inter-View Prediction
Xihua Sheng, Yingwen Zhang, Long Xu +1
Multiview video is a key format for 3D applications such as free-viewpoint broadcasting and virtual reality, yet its large data volume poses significant challenges for efficient st…
An Information-Theoretic Regularizer for Lossy Neural Image Compression
Yingwen Zhang, Meng Wang, Xihua Sheng +4
Lossy image compression networks aim to minimize the latent entropy of images while adhering to specific distortion constraints. However, optimizing the neural network can be chall…