Temporal Error Concealment Using Active Regression Planes
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Solution Overview
Problem
Existing temporal error concealment methods for video compression, particularly in the H.264/AVC standard, face challenges in accurately predicting motion vectors and optimizing video quality due to limitations in prediction accuracy and concealment quality.
Innovation Solution
A method that predicts motion vectors for damaged blocks using an active regression plane based on neighboring blocks, determines the optimal partition mode, and applies motion refinement with variable block sizes and early termination techniques to enhance prediction accuracy and reduce computational complexity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If simple motion vector prediction methods are used for temporal error concealment, then computational complexity is reduced, but prediction accuracy deteriorates
Solution Approach 1:
The damaged macroblock is divided into four 8×8 blocks, and each 8×8 block is further divided into four 4×4 blocks. This segmentation allows motion vector prediction to be performed at the finer 4×4 block level using six neighboring blocks, improving prediction accuracy while keeping computational complexity manageable through localized processing.
Solution Approach 2:
The patent applies different prediction strategies to different regions by using motion vectors from six specific neighboring blocks (top, bottom, left, right, and diagonal neighbors) to predict motion vectors for each damaged 4×4 block. This local quality approach ensures that each region is predicted based on its specific spatial context, improving overall prediction accuracy.
2Measurement precision
If motion refinement process is performed with full distortion comparison, then prediction accuracy is improved, but computational complexity increases
Solution Approach 1:
The patent implements partial distortion comparison by performing motion refinement only on selected 4×4 blocks rather than all blocks. The early termination technique stops the refinement process when a predetermined number of blocks have been processed or when a quality threshold is achieved, thereby reducing computational complexity while maintaining acceptable prediction accuracy.
Solution Approach 2:
The patent performs preliminary motion vector prediction using six neighboring blocks before conducting motion refinement. This preliminary action provides an initial estimate that guides the subsequent refinement process, allowing the system to focus computational resources on blocks that most need refinement and terminate early when sufficient accuracy is achieved.
Data Source
AI summary
A method for performing temporal error concealment is provided. The method includes the following steps: detecting a damaged macroblock having four 8×8 damaged blocks; obtaining motion vectors of a plurality of 4×4 neighboring blocks surrounding the damaged macroblock; and for each of the 8×8 damaged blocks, determining a predicted motion vector according to motion vectors of six of the plurality of 4×4 neighboring blocks which are closest to the 8×8 damaged block.