Triangular Merge Mode Weighted Prediction Video Coding
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Solution Overview
Problem
Current video coding technologies face challenges in efficiently compressing and decompressing video data, particularly in reducing data size for transmission and storage while maintaining high quality, especially with limited network resources and increasing demands for higher video quality.
Innovation Solution
The method involves using weighted prediction parameters combined with fade weighting and blending weighting parameters, determined by a reference index value and a reference picture list, to enable efficient encoding and decoding through slice-level weighted prediction mechanisms, including non-rectangular merge modes like triangular partitioning and geometric motion partitioning, which reduce data streams by signaling whether these mechanisms are enabled using a parameter set flag value.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If video data is compressed to reduce data size for transmission and storage, then the quantity of data needed to represent digital video images decreases, but the compression ratio and picture quality may be compromised
Solution Approach 1:
The video block is divided into multiple triangular partitions instead of using a single rectangular block. This segmentation allows for more precise motion representation in each sub-region, improving prediction accuracy while maintaining compression efficiency. The triangular partitions enable better adaptation to complex motion patterns without significantly increasing data overhead.
Solution Approach 2:
Different weighting parameters are applied to different triangular partitions within the same video block. This local quality approach allows each partition to have optimized prediction parameters tailored to its specific motion characteristics, improving overall picture quality while maintaining efficient compression through selective parameter application.
2Manufacturing precision
If complex prediction mechanisms are used to improve picture quality, then the quality of decoded video improves, but the device complexity and processing requirements increase
Solution Approach 1:
The patent applies weighting parameters to triangular partitions to improve prediction accuracy. By modifying the prediction parameters (weighting factors) rather than changing the fundamental prediction structure, the system achieves better picture quality with manageable complexity increases. The parameter changes are localized to specific partitions, preventing exponential complexity growth.
3Productivity
If non-rectangular partitioning modes are used to improve compression efficiency, then the compression ratio improves, but the ease of implementation and compatibility with existing standards decreases
Solution Approach 1:
The video block is divided into multiple triangular partitions instead of using a single rectangular block. This segmentation allows for more precise motion representation in each sub-region, improving prediction accuracy while maintaining compression efficiency. The triangular partitions enable better adaptation to complex motion patterns without significantly increasing data overhead.
Solution Approach 2:
Instead of using traditional rectangular partitions that align with the video block boundaries, the patent inverts the approach by using triangular partitions that can better fit complex motion patterns. This inversion of the partitioning geometry provides better compression efficiency for certain video content types while managing implementation complexity through standardized triangular division methods.
Data Source
AI summary
A computer-implemented method of determining whether an inter prediction process is enabled is disclosed in this application. The method includes obtaining an indication, where the indication indicates whether a slice-level weighted prediction mechanism is to be enabled in the inter prediction process. The method further includes determining, based on the indication, whether a non-rectangular merge mode or whether the slice-level weighted prediction mechanism is to be enabled in the inter prediction process. Furthermore, an encoder for encoding a data stream, like a video stream, using an inter prediction process and a decoder for decoding an encoded data stream, like an encoded video stream, using an inter prediction process, are disclosed.