Video Encoding Using User-Guided Region Analysis

The patent segments the video picture into multiple regions based on motion characteristics. Different encoding strategies are applied to different regions: high-motion regions use traditional motion estimation while low-motion regions use simplified prediction methods. This segmentation allows the system to maintain encoding accuracy for important regions while reducing overall encoding time and computational resources.

The patent applies local quality by using user-guided information to identify regions of interest and applying different prediction accuracies to different areas. Critical regions receive higher prediction accuracy with detailed motion estimation, while less important regions use simpler prediction methods. This local differentiation maintains overall encoding quality while significantly reducing total encoding time.

The patent performs preliminary action by using user-guided information to pre-identify motion vectors and regions of interest before the main encoding process. This preliminary step provides initial prediction data that guides subsequent encoding operations, reducing the need for exhaustive motion estimation across the entire picture and thereby lowering computational complexity while maintaining prediction accuracy for critical regions.

The patent applies partial action by performing comprehensive motion estimation only for identified regions of interest rather than across the entire picture. User-guided information allows the system to focus computational resources on partial regions that require high prediction accuracy, while using simpler methods for the remainder of the picture, thus reducing overall computational complexity.