Image Coding With SMVD and MMVD for Efficient Inter Prediction
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Solution Overview
Problem
The increasing demand for high-resolution, high-quality image/video data, particularly in formats like 4K or 8K and immersive media, leads to higher transmission and storage costs due to increased data volume, necessitating a more efficient compression technology.
Innovation Solution
The method and device enhance image/video coding efficiency by utilizing symmetric motion vector differences (SMVDs) and merge mode motion vector differences (MMVDs) for inter prediction, signaling information on motion vector differences, and employing specific reference picture types to derive SMVD reference indexes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If high-resolution, high-quality image/video data is transmitted or stored using existing mediums, then image quality and resolution are improved, but transmission cost and storage cost increase
Solution Approach 1:
The patent extracts and transmits only the essential motion information (motion vector differences) rather than the complete image data. By separating the motion compensation component from the full image signal, the system achieves efficient compression that maintains high image quality while dramatically reducing the volume of data that needs to be transmitted or stored.
Solution Approach 2:
The patent changes the representation parameters from full pixel data to motion vector differences and reference picture indices. This parameter transformation allows the system to describe complex image sequences using compact mathematical representations, achieving both high reconstruction quality and low bitrate transmission.
2Productivity
If motion vector differences are signaled for inter prediction, then coding efficiency is improved, but signaling complexity increases
Solution Approach 1:
The patent merges the signaling of L0 and L1 motion vector differences into a unified SMVD framework. By combining the signaling of both reference list motion vectors and their differences into a single coordinated process, the system achieves better compression efficiency while managing signaling complexity through integrated rather than separate handling of motion parameters.
Solution Approach 2:
The patent performs preliminary derivation of motion vector differences from co-located blocks before the main prediction process. By pre-calculating and storing these differences, the system reduces the computational burden during actual prediction and simplifies the signaling structure, as the differences are already prepared and can be directly applied without real-time computation.
Data Source
AI summary
According to embodiments of the present document, a prediction procedure may be performed for image/video coding, and the prediction procedure may include symmetric motion vector differences (SMVDs) and merge mode motion vector differences (MMVDs) according to an inter prediction. The inter prediction may be performed on the basis of reference pictures of a current picture, and types (e.g., a long term reference picture, a short term reference picture, etc.) of the reference pictures may be considered for the inter prediction. Therefore, performance and coding efficiency in the prediction procedure can be improved.