Video Decoding CIIP Prediction for High-Resolution Compression

The patent segments the prediction process into multiple independent prediction modes (intra prediction, inter prediction, and combined inter-intra prediction). By dividing the prediction task into separate modes that can be selectively applied to different blocks, the system achieves better compression efficiency for high-resolution, high-frame-rate video without requiring uniform processing of all data, thus managing the increased data volume effectively.

The patent implements dynamic prediction mode selection where the encoding/decoding apparatus adaptively chooses between intra prediction, inter prediction, and combined inter-intra prediction modes based on the characteristics of each video block. This dynamic approach allows the system to optimize compression efficiency for varying video content, maintaining high quality while managing the large data volumes associated with increased resolution and frame rate.

The patent merges intra prediction and inter prediction into a combined inter-intra prediction mode. This combination allows the system to leverage the strengths of both prediction methods simultaneously, achieving better encoding efficiency and image quality than either method alone. The merged approach directly addresses the limitations of existing compression techniques by providing a more powerful prediction mechanism for high-resolution video.

The patent creates a composite prediction structure that integrates multiple prediction modes (intra and inter) into a unified framework. Similar to composite materials combining different substances to achieve superior properties, this composite prediction approach combines the advantages of intra and inter prediction to achieve encoding efficiency and image quality that exceed the capabilities of individual prediction methods or existing compression standards.

The patent applies partial action by implementing CIIP mode selectively rather than universally. The system determines whether to apply the computationally intensive combined prediction mode based on block characteristics and conditions, using it only where it provides significant accuracy improvement. This partial application maintains prediction accuracy where needed while avoiding unnecessary computational complexity in blocks where simpler modes suffice.

The patent manages computational complexity through parameter changes by adjusting the application of CIIP mode based on various parameters such as block size, prediction mode indices, and weighting factors. By dynamically changing these parameters, the system optimizes the balance between prediction accuracy and computational complexity, applying the full CIIP processing only when parameters indicate it will provide meaningful improvement.