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: 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.
: 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
: A bandwidth-saving method that tracks a user's gaze and only renders high-detail video where the user is looking, which is particularly useful for Virtual Reality (VR) and cloud gaming. Enrico Masala | ScienceDirect : Using deep learning and neural networks to
: Developing algorithms that efficiently compress data to meet the high demand for bandwidth-hungry content (like 4K/8K streaming) without losing perceptual quality. Enrico Masala | ScienceDirect : Developing algorithms that
: Strategies for transmitting video over unpredictable environments, such as 802.11 wireless networks or inter-vehicle communications, where packet loss is common.
: 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
