Multilayer Video Signal Encoding Inter-Layer Prediction Tile Alignment
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Solution Overview
Problem
Current video compression techniques face challenges in efficiently encoding and decoding high-resolution, high-quality multi-layer video signals, particularly in determining inter-layer reference pictures, up-sampling lower-layer pictures, inducing texture information, and performing inter-layer prediction based on tile alignment for effective video coding.
Innovation Solution
The method involves determining a corresponding picture from a lower layer for inter-layer prediction of an upper layer, performing inter-layer prediction using the determined picture, reconstructing the upper-layer picture with prediction and residual samples, and selectively applying a loop filter to the tile boundary based on alignment flags.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If inter-layer prediction is performed using lower-layer pictures for upper-layer pictures, then coding efficiency is improved, but memory management complexity increases
Solution Approach 1:
The patent uses reference picture lists that copy and store lower-layer picture information in a structured manner, allowing efficient inter-layer prediction while managing memory through systematic reference picture selection and storage mechanisms
Solution Approach 2:
The patent dynamically adjusts prediction parameters including reference picture indices, scaling factors, and shift values based on layer dependencies and picture properties, enabling adaptive memory management and optimized coding efficiency across different video sequences
2Measurement precision
If lower-layer pictures are up-sampled for use in upper-layer prediction, then prediction accuracy is improved, but processing time increases
Solution Approach 1:
The patent performs up-sampling operations in advance during the encoding process, pre-computing scaled reference pictures that can be directly used during decoding, thereby reducing real-time processing requirements and improving prediction accuracy through prepared high-resolution reference data
Solution Approach 2:
The patent dynamically selects up-sampling methods and scaling factors based on the specific requirements of each picture and layer, adjusting the degree of up-sampling to balance between prediction accuracy and processing time for different video content characteristics
3Productivity
If tile boundary alignment is enforced between layers, then inter-layer prediction efficiency is improved, but flexibility in picture processing is reduced
Solution Approach 1:
The patent divides pictures into tiles and manages tile boundaries independently across layers, allowing alignment-based prediction efficiency within each tile while maintaining overall picture processing flexibility through selective tile-level operations and boundary-aware prediction modes
Data Source
AI summary
A scalable video signal decoding method according to the present invention is characterised in that whether or not a corresponding picture in a lower layer is being used as an inter layer reference picture for a current picture in an upper layer is determined on the basis of a time level identifier for the lower layer, and if the corresponding picture in the lower layer is being used as an inter layer reference picture for the current picture in the upper layer, inter layer prediction of the current picture is carried out using the corresponding picture, and the current picture is restored using a prediction sample obtained by means of inter layer prediction and a residual sample of the current picture.