Intra Block Copy Motion Vector Prediction Optimization
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Solution Overview
Problem
Existing video coding technologies face challenges in efficiently encoding and decoding digital video due to increasing bandwidth demands and the need for improved motion vector prediction methods.
Innovation Solution
The proposed techniques involve using intra-block coding (IBC) with advanced motion vector prediction (AMVP) and block vector signaling, allowing for the conversion between video regions and bitstream representations while optimizing motion vector prediction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If intra block copy (IBC) mode is applied to predict samples from other samples in the video picture, then coding efficiency is improved and bandwidth requirements are reduced, but device complexity increases due to additional motion vector prediction mechanisms
Solution Approach 1:
The patent segments the motion vector prediction process into multiple candidate types (spatial candidates, temporal candidates, and IBC-specific candidates). By dividing the prediction process into distinct segments with different candidate sources, the system achieves better prediction accuracy while maintaining manageable complexity through modular organization of prediction candidates.
Solution Approach 2:
The patent implements dynamic selection of prediction modes and candidates based on content characteristics. The encoder dynamically chooses between IBC mode and inter mode, and within IBC mode, dynamically selects from multiple candidate types (AMVP vs. merge candidates) based on the specific video content being encoded, thereby optimizing coding efficiency adaptively.
2Measurement precision
If advanced motion vector prediction (AMVP) with multiple IBC candidates is used during video conversion, then motion vector prediction accuracy is improved, but the complexity of the conversion process increases
Solution Approach 1:
The patent segments the AMVP process into distinct candidate generation stages (spatial candidate derivation, temporal candidate derivation, and IBC candidate derivation) with clear boundaries. Each segment produces specific types of candidates that are then combined and selected, making the complex process more manageable and implementable while maintaining high prediction accuracy.
Solution Approach 2:
The patent applies different candidate generation strategies to different spatial and temporal locations. Spatial candidates are derived from specific neighboring block positions, temporal candidates from specific reference picture positions, and IBC candidates from specific intra-picture reference positions. This localized approach optimizes prediction accuracy for each candidate type while keeping the overall process structured and manageable.
3Quantity of substance
If the bitstream representation selectively includes MVD related syntax elements based on maximum number of IBC candidates, then bandwidth usage is optimized, but the difficulty of detecting and measuring syntax elements increases
Solution Approach 1:
The patent implements dynamic syntax element inclusion in the bitstream based on the actual number of IBC candidates configured. When the maximum number of IBC candidates is zero, MVD-related syntax elements are excluded from the bitstream. When IBC candidates are present, the appropriate syntax elements are selectively included. This dynamic adaptation optimizes bandwidth usage while maintaining clear syntax element detection through conditional presence rules.
Data Source
AI summary
Methods, devices and systems for intra-block coding based decoding or encoding of video while using block vector signaling and/or merge candidates are disclosed. An example method for video processing includes performing a conversion between a video region of a video and a bitstream representation of the video, wherein the bitstream representation selectively includes motion vector difference (MVD) related syntax elements for an intra block copy (IBC) advanced motion vector prediction (AMVP) mode based on a maximum number of a first type of IBC candidates used during the conversion of the video region, wherein, when an IBC mode is applied, samples of the video region are predicted from other samples in a video picture corresponding to the video region.