HMD Resolution Adjustment via Content Saliency

The patent applies local quality by adjusting resolution dynamically based on the importance of different display contents. High-resolution rendering is applied only to important contents (such as foveal regions or semantically significant objects), while less important areas use lower resolution. This selective approach maintains high display quality where needed while reducing overall computational load and hardware requirements.

The patent changes the parameter of resolution dynamically based on content importance. Instead of maintaining uniformly high resolution across all display contents, the system adjusts resolution parameters adaptively - using high resolution for important contents and lower resolution for less important ones. This parameter change strategy maintains high visual experience quality while significantly reducing hardware cost and computational requirements.

The patent applies partial action by rendering only the necessary portions of the virtual scene at high resolution. Instead of computing and rendering all display contents at maximum quality, the system identifies important contents (using saliency detection, semantic analysis, or foveal tracking) and applies high-resolution rendering only to those regions. This partial approach maintains display quality for critical elements while dramatically reducing overall processing time and computational effort.