CNT Video Coding Using Activity-Based Transform Configuration

The patent applies preliminary action by performing transform coding before prediction coding. The transform coefficients are calculated in advance and stored, then used to generate multiple prediction signals with different characteristics. This allows the prediction process to leverage pre-computed statistical information and achieve high prediction quality without requiring complex real-time analysis during the prediction step itself.

The patent segments the prediction process into multiple independent prediction signals, each generated from different transform coefficients or different combinations of transform coefficients. This segmentation allows each prediction signal to be optimized independently and enables the system to select or combine the most effective predictions, thereby improving overall prediction value quality while maintaining coding efficiency through parallel processing.

The patent applies parameter changes by adapting the prediction and transform processes to the specific characteristics of high-resolution video content. Different prediction modes and transform parameters are selected based on the content type, spatial frequency, and temporal characteristics. This allows the system to maintain high video quality while optimizing memory usage and processing requirements by applying more sophisticated methods only where necessary rather than uniformly across all data.

The patent merges prediction coding and transform coding into a unified process where transform coefficients are used to generate prediction signals that are then used for residual calculation. This merging allows the system to combine the statistical dependency exploitation capabilities of transform coding with the prediction capabilities of prediction coding, achieving high compression efficiency while managing complexity through integrated processing rather than separate stages.