__masala_commp4 ❲2024-2026❳

: Strategies for transmitting video over unpredictable environments, such as 802.11 wireless networks or inter-vehicle communications, where packet loss is common.

Research under this umbrella typically focuses on balancing video quality with the constraints of modern networks: __masala_commp4

: Analyzing how systems can dynamically switch between different video bitrates based on real-time internet bandwidth conditions to ensure a smooth user experience. Key Technical Concepts __masala_commp4

: A technique used to find the best possible trade-off between the amount of data used (rate) and the resulting quality of the video (distortion). __masala_commp4

: Using deep learning and neural networks to mimic how humans perceive video quality, allowing encoders to prioritize "Regions of Interest" (ROIs) that the human eye notices most.