Spatial Merge Motion Vector Offsets for Better Video Coding
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Solution Overview
Problem
Existing image encoding/decoding methods require performance improvements, particularly in image processing, to keep up with the increasing demand for efficient multimedia data handling.
Innovation Solution
An image encoding/decoding apparatus that modifies a motion vector predictor using an adjustment offset, constructing a motion information prediction candidate list, selecting a prediction candidate index, and deriving a prediction motion vector adjustment offset based on offset information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If existing image encoding/decoding methods are used, then the system can process multimedia data, but the coding performance and processing efficiency are insufficient
Solution Approach 1:
The patent applies preliminary action by constructing a motion information prediction candidate list before actual motion vector encoding. The list includes spatial candidates from adjacent blocks and temporal candidates from reference frames, prepared in advance to enable efficient selection during encoding/decoding operations, thereby improving coding performance without increasing processing time
Solution Approach 2:
The patent uses copying by deriving motion vectors from candidate blocks in the prediction list. Instead of calculating motion vectors from scratch for each block, the system copies motion information from spatially adjacent blocks or temporally correlated reference frames, significantly improving processing efficiency while maintaining coding performance
2Measurement precision
If motion vector prediction is performed without adjustment offsets, then the encoding process is simpler, but the prediction accuracy deteriorates
Solution Approach 1:
The patent applies local quality by introducing adjustment offsets specifically for candidates that require refinement. Instead of applying complex adjustments to all candidates uniformly, the system selectively applies offsets only to spatial candidates where local motion variations exist, improving prediction accuracy while controlling encoding complexity through targeted refinement
Solution Approach 2:
The patent uses parameter changes by modifying motion vector parameters through adjustment offsets. The encoder derives offset values based on local motion characteristics and applies them to candidate motion vectors, dynamically changing the parameters to improve prediction accuracy without fundamentally altering the encoding structure
Data Source
AI summary
An image encoding and decoding method and device are disclosed. The method includes configuring a motion information candidate list of a target block, selecting a candidate index from the list, deriving an offset for adjusting a motion vector, and recovering a motion vector of the target block based on a predicted motion vector on the basis of the offset.