2 papers
cs.LG2026
RAVQ-HoloNet: Rate-Adaptive Vector-Quantized Hologram Compression
Shima Rafiei, Zahra Nabizadeh Shahr-Babak, Soroush Khoubyarian +3
Holography offers significant potential for AR/VR applications. However, its adoption is limited by the high demand for data compression. Existing deep learning approaches generall…
cs.MM2025
High-Quality Live Video Streaming via Transcoding Time Prediction and Preset Selection
Zahra Nabizadeh Shahre-Babak, Nader Karimi, Krishna Rapaka +3
Video streaming often requires transcoding content into different resolutions and bitrates to match the recipient's internet speed and screen capabilities. Video encoders like x264…