Video Decoding Using Variable Quantization Groups
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Solution Overview
Problem
Current video compression technologies face challenges in enhancing encoding efficiency, particularly for high-resolution images like FHD and UHD, and in effectively transmitting motion information and performing global motion compensation and intra prediction.
Innovation Solution
The proposed solution involves a video decoding apparatus and method that utilize variably-sized quantization coefficient groups, enable motion information derivation without direct motion vector transmission, perform global motion compensation on extensive regions, and employ curve intra prediction to enhance encoding and decoding efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If fixed-size quantization coefficient groups are used, then decoding complexity is reduced, but encoding efficiency deteriorates
Solution Approach 1:
The patent applies dynamics by making the quantization coefficient group size variable rather than fixed. The decoding apparatus dynamically adapts the group size based on the distribution characteristics of quantization coefficients in the current block, allowing the system to optimize between encoding efficiency and decoding complexity for different signal characteristics.
Solution Approach 2:
The patent changes the parameter of quantization coefficient group size from a fixed value to a variable parameter that adapts to signal characteristics. By monitoring the distribution of quantization coefficients and adjusting the group size accordingly, the system achieves better encoding efficiency while maintaining manageable decoding complexity through conditional logic.
2Measurement precision
If motion vectors are directly transmitted, then motion information accuracy is improved, but bitstream complexity increases
Solution Approach 1:
The patent extracts only the essential motion information needed for decoding by deriving motion vectors at the decoder side using reference picture data and motion compensation parameters, rather than transmitting complete motion vectors. This separates the transmission of compact representation data from the computation of detailed motion information.
Solution Approach 2:
The patent introduces motion compensation parameters and reference picture data as intermediaries between the encoded video data and the reconstructed video. These intermediaries enable the decoder to derive accurate motion vectors without direct transmission, acting as a bridge that reduces bitstream complexity while preserving motion information accuracy.
3Measurement precision
If global motion compensation is performed on limited regions, then processing speed is maintained, but motion compensation accuracy deteriorates
Solution Approach 1:
The patent segments the video picture into multiple blocks and applies global motion compensation selectively to specific regions based on motion characteristics. By dividing the processing into region-specific operations rather than uniform global processing, the system achieves accurate motion compensation where needed while maintaining overall processing efficiency.
4Measurement precision
If conventional intra prediction is used, then decoding complexity is reduced, but prediction accuracy deteriorates
Solution Approach 1:
The patent applies curve intra prediction that uses curved lines instead of straight lines for prediction. By modeling the prediction boundary as a curve rather than a straight line, the system achieves higher prediction accuracy for regions with curved boundaries while adding manageable complexity through mathematical curve representation.
Data Source
AI summary
The present invention relates to a method and apparatus for performing encoding and decoding using a variably-sized quantization coefficient group, in quantization coefficient group encoding and decoding of video compression technology.