Video Decoder Prediction Accuracy via Redundant Signaling Removal
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Solution Overview
Problem
Current video processing methods face challenges in efficiently reducing signal redundancy and improving prediction accuracy, especially with increasing demands for higher resolutions and faster transmission times, as they often require signaling unnecessary prediction information for coding blocks.
Innovation Solution
A method and device for video processing that partitions coding blocks into smaller units based on coding tree information, identifying when the first N-1 units have the same prediction information, and excluding this information from the merging candidate list or probable intra prediction mode list for the Nth unit, thereby reducing signaling bits and enhancing prediction accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If prediction information from first N-1 coding units is included in the merging candidate list for the Nth coding unit, then the prediction accuracy may be maintained, but the number of signaling bits increases and transmission efficiency decreases
Solution Approach 1:
The patent extracts and removes redundant prediction information from the merging candidate list. Specifically, when the first N-1 coding units have identical prediction information, this information is excluded from the Nth coding unit's merging candidate list, thereby reducing signaling bits while maintaining prediction accuracy through alternative candidate selection
Solution Approach 2:
The patent changes the parameter of the merging candidate list by dynamically adjusting its content based on the prediction information of previously coded coding units. When redundancy is detected, the list is modified to exclude unnecessary candidates, optimizing the balance between prediction accuracy and transmission efficiency
2Measurement precision
If all coding blocks are processed with full prediction information signaling, then prediction accuracy is maintained, but transmission time and data volume increase
Solution Approach 1:
The patent extracts redundant prediction information at the coding block level. By identifying when consecutive coding blocks share identical prediction characteristics, the system removes unnecessary signaling data, thereby reducing transmission time and data volume while preserving essential prediction accuracy through selective information retention
Solution Approach 2:
The patent applies partial action by signaling only the necessary prediction information rather than all possible candidates. When the first N-1 coding units have the same prediction information, full signaling is avoided for the Nth unit, achieving efficient transmission with sufficient prediction accuracy for most cases
Data Source
Figure 1A~1E
Figure 2
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AI summary
A decoder and a predictive decoding method performed by the decoder are described. The method includes receiving a coding block from an encoder, partitioning the coding block into N coding units (CUs) based on coding tree information, identifying whether first N-1 CUs have same prediction information, and excluding the prediction information from a merging candidate list or a probable intra prediction mode list for Nth CU when the first N-1 CUs have same prediction information. By considering the prediction information of first N-1 coding when deciding a merging candidate list or a probable intra prediction mode list for the Nth CU, this present disclosure increase the accuracy of image prediction for the last coding or prediction block.