Transitional Video Frame Generation for VR Brightness Control

The patent applies preliminary action by predicting the user's next viewing direction before actual head movement occurs. The system pre-calculates which video frame should be displayed next based on predicted head orientation, allowing smooth transitions to be prepared in advance. This prevents sudden brightness changes by anticipating the user's viewing path and preparing appropriate intermediate frames before the actual view change happens.

The patent introduces intermediary video frames as mediators between consecutive video frames. When the user changes viewing direction, instead of directly switching from one frame to another (causing sudden brightness changes), the system generates intermediate transitional frames that gradually blend the color and brightness values between adjacent frames. These intermediary frames act as a buffer, smoothing the transition and reducing eye stimulation while maintaining the 360-degree playback freedom.

The patent applies local quality by performing color interpolation only on specific pixel regions where brightness changes are most noticeable, rather than processing every pixel uniformly. The system identifies key areas (such as boundaries between different scenes or objects with high color contrast) and applies smooth transition algorithms selectively to these regions. This localized approach reduces computational complexity and processing time while still achieving smooth brightness transitions in the critical areas that affect user comfort.

The patent uses partial action by generating a limited number of intermediate frames rather than creating a continuous sequence of frames. Instead of interpolating every possible frame between two consecutive video frames (which would be computationally intensive), the system generates only the necessary intermediate frames based on predicted head movement and user viewing patterns. This partial approach maintains smooth transitions while significantly reducing processing time and computational resources required.