20 papers
Streamable Neural Video Compression: A Mixed Precision Approach for Cross-Platform Deployment
Kasidis Arunruangsirilert, Heming Sun, Jiro Katto
Neural Video Codecs (NVCs) offer unprecedented rate-distortion performance, making them highly attractive for bandwidth-constrained environments like 5G cellular networks and emerg…
Wavefront Parallelization for Efficient Learned Image Compression
Shimon Murai, Fangzheng Lin, Kasidis Arunruangsirilert +1
Autoregressive context models are foundational for learned image compression,but they suffer from slow serial inference. Existing acceleration methods such as checkerboard context…
Performance Analysis of Hardware-Accelerated 10-Bit 4:2:2 Encoding with Split-Frame Encoding for High-Fidelity V-PCC Streaming
Kasidis Arunruangsirilert, Jiro Katto
Video-based Point Cloud Compression (V-PCC) encodes volumetric data by projecting 3D geometry and texture onto 2D video frames. To prevent spatial distortion and color bleeding dur…
Dual-Constrained Diffusion Image Compression for Operational Rate-Distortion-Perception Optimization
Sanxin Jiang, Jiro Katto, Heming Sun
The rate-distortion-perception (RDP) trade-off extends classical rate--distortion theory by imposing a distributional constraint on reconstructions, providing a unified framework f…
Sustainable Real-Time 8K60 HEVC Encoding for V2X: Repurposing Legacy NVENC Hardware at the Vehicular Edge
Kasidis Arunruangsirilert, Jiro Katto
The rapid advancement of Vehicle-to-Everything (V2X) communications and Tele-Operated Driving (ToD) demands ultra-low-latency, 8K60 video telemetry. However, deploying modern hardw…
Transformer-Based MCS Prediction for 5G Multicast-Broadcast Services (MBS)
Kasidis Arunruangsirilert, Jiro Katto
The deployment of 5G Multicast-Broadcast Services (MBS) is emerging as a critical technology for spectral-efficient UHD content delivery and serving as a promising solution to mode…