Video Coding Motion Vector Prediction Coherence
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Solution Overview
Problem
The calculation of motion vector fields in video sequences is complex and results in erratic fields that are not coherent with true motion, leading to suboptimal compression and error correction performance, especially when images are noisy or suffer from loss during transport.
Innovation Solution
A method that calculates similarity between blocks in a video sequence using a predetermined similarity metric, predicts motion vectors based on neighboring vectors, and determines final motion vectors to optimize the motion vector field for coherence and compression efficiency, incorporating a step to model the similarity map with a parabolic function for simplified calculations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If motion vectors are calculated to optimize compression (minimize residue), then compression efficiency is improved, but motion vector coherence with true motion deteriorates
Solution Approach 1:
The patent applies preliminary action by predicting motion vectors from neighboring blocks before final motion vector determination. This prediction step prepares an initial estimate that guides the subsequent optimization process, ensuring coherence is maintained while achieving compression. The predicted motion vector serves as a starting point that reflects true motion patterns before residue minimization is applied.
2Productivity
If traditional motion vector calculation is used, then compression is optimized, but error correction performance deteriorates
Solution Approach 1:
The patent implements feedback by using the predicted motion vector (derived from neighboring blocks that have already been processed) to influence the final motion vector selection. This feedback mechanism ensures that motion vectors remain coherent with the overall motion field, which directly improves error correction performance while maintaining acceptable compression rates.
3Reliability
If motion vector field is made coherent with true motion, then error correction improves, but compression efficiency deteriorates
Solution Approach 1:
The patent applies parameter changes by modifying the motion vector determination process to incorporate prediction from neighboring blocks. This changes the parameters used to select motion vectors, balancing coherence and compression by using a weighted combination or selection criteria that considers both residue minimization and motion field consistency.
4Measurement precision
If complex motion vector calculation methods are used, then motion accuracy improves, but computational complexity increases
Solution Approach 1:
The patent reduces computational complexity by performing preliminary motion vector prediction from neighboring blocks before conducting the full similarity search. This preliminary action provides a good initial estimate that narrows the search space, maintaining motion estimation accuracy while significantly reducing the number of calculations required.
Data Source
AI summary
To code a video sequence, the similarity is calculated (10) between a block of pixels to code of a current image of the sequence and blocks of pixels of a reference image and at least one motion vector per block of the sequence is determined on the basis of at least one similarity value calculated previously. Furthermore, for at least one block of pixels to code, a prediction (16) is determined of at least one motion vector from neighboring motion vectors that have already been calculated; a final motion vector is determined (18) from similarity values calculated previously for the block to code and on the basis of the predicted motion vector; and the block to code is coded (20) using the final motion vector.