Motion Vector Offset Refinement for Video Compression Efficiency
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Solution Overview
Problem
The increasing demand for high-definition video services has led to a significant increase in data volume, and existing video compression standards like HEVC are showing limitations in efficiency.
Innovation Solution
A method of refining a motion vector using an offset vector in video signal encoding and decoding, where the magnitude and direction of the offset vector are determined based on specific index information, and signaling methods are used to adaptively set maximum and minimum numerical values of motion magnitude candidates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If existing video compression standards like HEVC are used, then compression performance is improved compared to H.264/AVC, but compression performance limitations are revealed with rapid advancement in high-definition video services
Solution Approach 1:
The patent introduces an offset vector mechanism that modifies motion vector parameters to enhance prediction accuracy. By adjusting motion vector magnitude and direction through offset vectors derived from merge candidates, the system optimizes compression parameters for high-definition video services, resolving the limitation of HEVC in maintaining sufficient compression efficiency.
2Productivity
If motion vector refinement using offset vectors is implemented, then inter prediction efficiency is improved, but device complexity increases
Solution Approach 1:
The offset vector serves as an intermediary element that bridges merge candidates and final motion vectors. Instead of directly computing complex motion vectors, the system uses offset vectors as a mediator to refine motion vector predictions, simplifying the overall encoding/decoding process while improving inter prediction efficiency through a structured two-step approach.
Solution Approach 2:
The patent performs preliminary actions by pre-calculating offset vectors from merge candidates before final motion vector derivation. This preliminary computation of offset vectors based on available merge candidate information enables more accurate motion vector prediction without requiring complex real-time calculations, thus improving prediction efficiency while managing computational complexity.
Data Source
AI summary
A video decoding method according to the present disclosure includes the steps that: a merge candidate list for a current block is generated; a merge candidate for the current block is determined among merge candidates included in the merge candidate list; an offset vector for the current block is derived; and a motion vector for the current block is derived by adding the offset vector to a motion vector of the merge candidate.