Video Decoding with Adaptive Transform Modes for Residual Blocks
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The challenge of efficiently compressing video data for transmission and storage while maintaining high image quality is significant due to limited network and memory resources, necessitating improved compression and decompression techniques.
Innovation Solution
An encoding method that optimizes quantization bit allocation for spectral coefficients of audio signals, utilizing specific transform modes and types for residual transform units to improve decoding efficiency and quality, thereby reducing the data required for transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If video data is compressed to reduce data size for transmission and storage, then bandwidth consumption and storage requirements are reduced, but image quality deteriorates
Solution Approach 1:
The patent applies different quantization parameters to different frequency bands of transform coefficients. High-frequency coefficients receive coarser quantization (lower quality) while low-frequency coefficients receive finer quantization (higher quality), optimizing the balance between compression ratio and perceived image quality since human vision is more sensitive to low-frequency details
Solution Approach 2:
The patent dynamically adjusts quantization parameters based on the importance of frequency components. By changing the quantization step size according to frequency band and signal characteristics, the system achieves optimal compression quality trade-off that adapts to different video content and transmission conditions
2Manufacturing precision
If quantization bit allocation is optimized for spectral coefficients, then decoding quality improves, but encoding complexity increases
Solution Approach 1:
The patent segments the frequency spectrum into multiple bands and applies different quantization strategies to each segment. This division allows independent optimization of quantization parameters for each frequency range, improving decoding quality while keeping the encoding process manageable through structured processing
Solution Approach 2:
The patent performs transform operations and frequency band separation before quantization, preparing the data in advance to guide subsequent quantization decisions. This preliminary processing enables more efficient bit allocation that improves decoding quality without requiring complex real-time analysis during encoding
3Productivity
If transform modes are optimized for residual transform units, then decoding efficiency improves, but data transmission requirements increase
Solution Approach 1:
The patent selects different transform modes (DCT, DST, ADCT) for different residual transform units based on their specific characteristics and positions. This localized optimization improves decoding efficiency for each region while controlling overall data size by applying the most appropriate transform only where needed
Data Source
AI summary
A video decoding method, including: parsing a received bitstream to obtain prediction information of a coding unit (CU); obtaining a target transform mode of a residual transform unit (TU); parsing the received bitstream to obtain transform coefficients of the residual TU; applying an inverse quantization to the transform coefficients of the residual TU to obtain dequantized coefficients; applying, based on the target transform mode, an inverse transform to the dequantized coefficients to obtain a residual block of the residual TU; obtaining a prediction block of the CU based on the prediction information; obtaining a video block based on the residual block and the prediction block; and outputting a video sequence including a video frame that includes the video block.