Multilayer Image Coding With Temporal Sublayer Signaling
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The increasing demand for high-resolution, high-quality images and videos, particularly in virtual reality and augmented reality, leads to higher data transmission and storage costs due to the increased amount of information required, necessitating a more efficient compression technique.
Innovation Solution
A multilayer-based image coding method that signals and determines the maximum number of temporal sublayers based on the number of layers in a target OLS, enhancing video/image coding efficiency through inter-layer prediction and scalable coding.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If high resolution and high quality image/video are used, then image quality is improved, but transmission and storage costs increase
Solution Approach 1:
The image/video data is segmented into multiple layers with different resolutions and qualities. The encoding apparatus divides the input signal into a base layer and enhancement layers, allowing receivers to selectively decode only the layers they need based on their capabilities and channel conditions, thus reducing the amount of data that needs to be transmitted and stored while maintaining high quality for those who need it.
Solution Approach 2:
The patent changes the parameter of data representation by using scalable video coding with multiple quality layers. Instead of transmitting a single high-resolution version, the system transmits a base layer with lower resolution and enhancement layers that can be added to achieve higher quality, effectively changing how quality is parameterized and delivered.
2Productivity
If more layers are included in the multilayer structure, then coding efficiency is improved, but device complexity increases
Solution Approach 1:
The patent implements dynamic layer selection and signaling mechanisms where the encoding apparatus can adaptively determine which layers to include in the bitstream based on channel conditions and receiver capabilities. The system dynamically adjusts the number of layers and their configurations, allowing high coding efficiency when conditions permit while reducing complexity when resources are constrained.
Solution Approach 2:
The patent adds the dimension of temporal scalability by introducing temporal sublayers within each quality layer. This allows the system to efficiently represent video sequences by exploiting temporal redundancy across frames while maintaining the multilayer quality structure, thereby improving coding efficiency without proportionally increasing device complexity.
Data Source
AI summary
An image decoding method performed by a decoding apparatus, according to the disclosure of the present document, comprises the steps of: obtaining, from a bitstream, image information including information related to a temporal sublayer and information related to a target OLS; generating prediction samples of a current block by performing prediction on the current block on the basis of the information related to the temporal sublayer; and generating a reconstructed picture on the basis of the prediction samples.