Video Coding Sign Prediction with Neighbor Selection and Sign Data Hiding
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Solution Overview
Problem
Existing video coding technologies face inefficiencies in sign prediction, leading to increased bitrates due to uncompressed transmission of residual coefficients, and introduce hardware and pipeline dependencies that complicate decoding processes.
Innovation Solution
Implement intelligent neighbor selection, residue domain-based prediction, and reduced area processing for sign prediction, combined with sign data hiding, to enhance compression efficiency and reduce hardware complexity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If residual coefficients are transmitted uncompressed, then sign prediction accuracy is maintained, but bitrate increases
Solution Approach 1:
The patent extracts only the necessary sign information from the residual coefficients and transmits only the prediction residuals instead of all coefficient data. This selective extraction reduces the quantity of transmitted data (bitrate) while maintaining sign prediction accuracy through the use of prediction models that reconstruct signs from limited information.
Solution Approach 2:
The patent changes the transmission parameter from uncompressed residual coefficients to compressed prediction residuals. By transforming the data representation and using predictive models to reconstruct signs, the system achieves lower bitrate while maintaining prediction accuracy through parameter transformation rather than direct transmission.
2Productivity
If traditional sign prediction methods are used, then compression efficiency is achieved, but hardware complexity and pipeline dependencies increase
Solution Approach 1:
The patent extracts and eliminates complex hardware components and pipeline dependencies from the signal processing graph. By reformulating the sign prediction process to operate on simplified data structures and removing unnecessary intermediate processing stages, the system maintains compression efficiency while reducing hardware complexity and eliminating pipeline bottlenecks.
Solution Approach 2:
The patent uses simplified copying operations and data structures to replace complex hardware processing. Instead of requiring complex hardware circuits for sign prediction, the system uses software-based prediction models that copy and manipulate simplified data representations, achieving the same functional outcome with reduced hardware complexity.
Data Source
AI summary
Methods, systems, and bitstream syntax are described for sign prediction in video coding. The method include: selection of top and left neighbors based on an image continuity check, the intra mode of the current coded unit (CU), the merge motion vector, or adaptive motion vector prediction, sign prediction based on residue domain of current CU or neighbor CUs, sign prediction based on approximated reconstruction samples, reducing the number of selected coefficients for sorting, simplifying the sequential search cost, and by combining sign prediction with sign data hiding.