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Semantics and perceptual coding for cloud-edge collaborative game streaming
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AI
DOI：10.1016/j.cag.2025.104367.png)
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Abstract
En 中文
• Introduces a perceptually-driven difference coding framework for cloud–edge gaming. • Models player attention via game-state semantics and SEEV cognitive theory. • Combines saliency and JND to guide QP allocation in the residual domain. • Applies VRS and filtering to suppress non-ROI high-frequency content at source. • Achieves higher perceptual quality under low bitrate with stable baseline rendering.
Keywords:
perceptual coding
cloud–edge gaming
attention modeling
rate-distortion optimization
quality enhancement