Video Encoding Interlayer Prediction Using Layer Lists
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Solution Overview
Problem
Current video compression techniques struggle to efficiently adapt to varying network bandwidths, particularly in flexible network environments, leading to suboptimal encoding and decoding performance for high-definition and ultra-high-definition video content.
Innovation Solution
The method involves constructing spatial and quality reference layer lists and view reference layer lists to enable interlayer prediction, allowing for efficient encoding and decoding by referencing decoded pictures from multiple layers, thereby improving encoding efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional video compression techniques are used, then encoding and decoding can be performed with standard methods, but encoding efficiency is insufficient for high-definition and ultra-high-definition video content in flexible network environments
Solution Approach 1:
The patent segments video data into multiple layers with different resolutions and quality levels (base layer, enhancement layers). Each layer can be independently encoded and transmitted, allowing the system to adapt to varying network bandwidths by transmitting only necessary layers. This segmentation enables efficient resource utilization and improves encoding efficiency for HD and UHD content.
Solution Approach 2:
The patent implements dynamic adaptation by allowing the encoder to select which layers to transmit based on current network conditions. The system dynamically adjusts the set of transmitted layers and their resolution/quality parameters in response to varying bandwidth availability, enabling flexible network environment adaptation while maintaining optimal encoding efficiency.
2Productivity
If multiple reference layers are used for interlayer prediction, then encoding efficiency is improved, but device complexity increases due to managing spatial and quality reference layer lists
Solution Approach 1:
The patent creates reference layer lists that serve multiple functions: spatial reference lists for inter-layer prediction across different resolutions and quality reference lists for inter-layer prediction across different quality levels. These universal reference structures enable the system to handle both spatial and quality scalability using the same fundamental mechanism, improving encoding efficiency while managing complexity through standardized list management.
Solution Approach 2:
The patent manages complexity by parameterizing the reference layer selection process. Instead of hardcoding complex relationships, the system uses parameters such as layer indices, resolution scaling factors, and quality metrics to dynamically determine which reference layers to use. This parameter-based approach simplifies the management of reference layer lists while maintaining high encoding efficiency.
Data Source
AI summary
Disclosed is technology associated with video encoding and decoding having a structure including one or more layers (quality, spatial, and view) and technology associated with a method that predicts an higher layer signal by using one or more reference layers in encoding and decoding an higher layer. In more detail, an interlayer prediction is capable of being performed by considering a characteristic of each layer by separating a spatial and quality reference layer list constituted by spatial and quality layers to be referred at the same view as a target layer and a view reference layer list constituted by the same spatial and quality layers as a target layer in encoding and decoding encoding and decoding pictures of an higher layer in encoding and decoding encoded and decoded pictures of the higher layer to improve encoding and decoding efficiency.