Multilayer video signal encoding/decoding method and device
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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 reference pictures for inter-layer prediction and upsampling, which affects texture and motion information derivation.
Innovation Solution
A method and apparatus that select candidate reference pictures based on sublayer number information and temporal IDs to determine active references, generate a reference picture list, and perform inter-layer prediction, including texture and motion prediction types.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If video data is transmitted on existing wideband circuits or stored in existing storage media, then transmission and storage can be performed, but transmission cost and storage cost increase due to larger video data amount
Solution Approach 1:
The patent extracts and removes redundant information from video data through advanced compression techniques. It separates essential visual information from redundant data, keeping only the necessary components for high-quality reproduction, thereby reducing the overall data amount while maintaining image quality.
Solution Approach 2:
The patent changes the parameters of video compression by introducing multi-layer scalability and inter-layer prediction mechanisms. It transforms the compression approach from single-layer to multi-layer structures, allowing flexible representation of video data at different quality levels and reducing the total data volume required for transmission and storage.
2Measurement precision
If high-resolution and high-quality video data is used, then image quality is improved, but video data amount increases
Solution Approach 1:
The patent segments video data into multiple layers with different quality levels. It divides the high-resolution video into base layer and enhancement layers, where each layer contains specific quality information. This segmentation allows the system to transmit and store only the necessary quality level, reducing data amount while preserving the ability to reconstruct high-quality images when needed.
Solution Approach 2:
The patent applies partial action by selectively transmitting or storing only the necessary portions of video data at different quality levels. Instead of always transmitting complete high-resolution data, it transmits base layer data universally and adds enhancement layer data only when higher quality is required, thereby reducing overall data amount while maintaining image quality where needed.
3Productivity
If inter-layer prediction is performed for current picture, then compression efficiency is improved, but determination of reference pictures and upsampling increases complexity
Solution Approach 1:
The patent applies preliminary action by pre-determining reference picture lists and upsampling parameters before the actual inter-layer prediction process. It prepares candidate reference pictures and their corresponding upsampling methods in advance, storing them in reference picture memory. This preliminary preparation simplifies the main prediction process by eliminating complex real-time calculations during video encoding and decoding.
Solution Approach 2:
The patent introduces an intermediary mechanism in the form of a reference picture list that mediates between different layers. This list acts as an intermediate structure that organizes and manages reference pictures from base and enhancement layers, simplifying the selection and matching process during inter-layer prediction. The intermediary structure reduces the complexity of directly managing relationships between multiple layers.
Data Source
AI summary
A method for decoding a multilayer video signal, according to the present invention, is characterized by: selecting, from a corresponding picture of at least one reference layer, a candidate reference picture of a current picture by using sublayer number information relating to the reference layer and a temporal ID of the current picture belonging to a current layer, determining the number of active references for a current picture based on the number of the candidate reference picture, acquiring a reference layer Identifier (ID) based on the determined number of active references, determining an active reference picture for the current picture using the reference layer ID, generating a reference picture list for the current picture, the reference picture list including a temporal reference picture and the active reference picture, and performing inter-layer prediction for the current picture based on the reference picture list.