Zhe Zhang

Cloud gaming transmission moves bitrate decisions from whole chunks down to individual game objects: an off-the-shelf semantic segmentation model splits each frame into objects, and a deep reinforcement learning agent uses the player's in-game movement speed, object semantics and motion, and current network conditions to judge which objects the player actually attends to, giving those higher resolution while lowering the rest to save bandwidth. Across simulated 5G, 4G and WiFi scenarios the scheme beats existing ABR algorithms on the proposed QoE metrics, with normalized average QoE at least 20% higher in 5G, and a 34-participant subjective study gives it a mean opinion score of 4.16 versus 2.49 for Pensieve, 3.74 for T-Gaming and 2.86 for MetaABR.

Cloud gaming transmission moves bitrate decisions from whole chunks down to individual game objects: an off-the-shelf semantic segmentation model splits each frame into objects, and a deep reinforcement learning agent uses the player's in-game movement speed, object semantics and motion, and current network conditions to judge which objects the player actually attends to, giving those higher resolution while lowering the rest to save bandwidth. Across simulated 5G, 4G and WiFi scenarios the scheme beats existing ABR algorithms on the proposed QoE metrics, with normalized average QoE at least 20% higher in 5G, and a 34-participant subjective study gives it a mean opinion score of 4.16 versus 2.49 for Pensieve, 3.74 for T-Gaming and 2.86 for MetaABR.