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: High Efficiency Video Coding ( HEVC/H.265 ) and Advanced Video Coding ( AVC/H.264 ) are central to this field, providing the blueprints for modern video files.

: 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. __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). : High Efficiency Video Coding ( HEVC/H

: Developing algorithms that efficiently compress data to meet the high demand for bandwidth-hungry content (like 4K/8K streaming) without losing perceptual quality. : Developing algorithms that efficiently compress data to

: 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:

: 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