Block Vector Predictor Refinement for Video Compression Signaling
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Solution Overview
Problem
Existing video encoding and decoding technologies face challenges in efficiently reducing the signaling overhead for block vector predictors, which affects the compression efficiency and quality of video data transmission.
Innovation Solution
The use of block vector predictor refinement techniques, where the encoder determines block vector predictors within a decoded region based on the dimensions and boundaries of the current block, ensuring a close prediction of the actual block vector, thereby reducing the need for explicit signaling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If block vector predictors are explicitly signaled in the bitstream, then the decoder can accurately reconstruct the reference blocks, but the signaling overhead increases reducing compression efficiency
Solution Approach 1:
The encoder determines block vector predictors and signals only the difference between the actual block vector and the predicted block vector. The decoder uses the same prediction logic to reconstruct the block vector predictor, eliminating the need for explicit signaling of the full predictor data. This self-service approach reduces signaling overhead while maintaining prediction accuracy.
Solution Approach 2:
The block vector predictor is determined in advance based on previously decoded blocks and current block characteristics before the actual block vector signaling. This preliminary determination allows the system to signal only the residual difference rather than the complete block vector information, reducing the amount of data that needs to be transmitted.
2Measurement precision
If the block vector predictor is determined based on decoded region boundaries and block dimensions, then the prediction accuracy improves, but the computational complexity increases
Solution Approach 1:
The block vector predictor determination is tailored to local block characteristics including dimensions and decoded region boundaries. Different prediction strategies are applied based on the specific block size and position within the decoded region, optimizing prediction accuracy for each local context without requiring a universally complex solution.
Solution Approach 2:
The decoded region is segmented into blocks, and the block vector predictor is determined for each block based on its specific boundaries and dimensions. This segmentation allows the complexity to be distributed across multiple simpler block-level operations rather than requiring a single complex global prediction mechanism.
Data Source
AI summary
Encoding and/or decoding a block of a video frame may be based on a previously decoded reference block in the same frame or in a different frame. The reference block may be indicated by a block vector (BV). The BV may be encoded as difference between a block vector predictor (BVP) and the BV. The BVP may be adjusted to improve prediction accuracy of the BVP.


