Multilayer Image Coding with Layer Signaling to Cut Parsing Overhead
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Solution Overview
Problem
The increasing demand for high-resolution and high-quality images and videos, along with the rise of immersive media formats like VR and AR, has led to a need for high-efficiency image and video compression technologies that can effectively compress and transmit or store this data while optimizing transmission and storage costs.
Innovation Solution
A multilayer-based coding approach is employed, where a target output layer is determined using external means or signaled information, with temporal scalability applied to improve image/video coding efficiency, and unnecessary parsing procedures are minimized through specific NAL unit information signaling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-resolution and high-quality image/video data are transmitted using existing wired or wireless wideband lines or storage media, then transmission and storage costs are increased
Solution Approach 1:
The patent applies multi-layer coding to segment the image/video data into different quality layers. The decoded picture is divided into a first picture (lower quality) and a second picture (higher quality), allowing receivers to selectively decode only the necessary layers based on their capabilities and network conditions, thereby reducing transmission costs while maintaining high quality when needed.
Solution Approach 2:
The patent changes the quality parameter by providing multiple decoded pictures at different quality levels. The receiver can adjust the quality parameter dynamically by selecting which layers to decode, enabling high-quality output when resources allow while reducing transmission requirements when costs are a concern.
2Productivity
If multi-layer coding techniques are applied to satisfy compression efficiency requirements, then information signaling complexity increases
Solution Approach 1:
The patent extracts and signals only the essential layer information separately from the main bitstream. By identifying and signaling the target output layer index and highest temporal ID through specific NAL units, the patent removes the complexity of parsing entire bitstreams while maintaining the benefits of multi-layer coding for compression efficiency.
Solution Approach 2:
The patent performs preliminary signaling of layer information before the main decoding process. By providing target output layer and highest temporal ID information in advance through specific NAL units, the receiver can prepare the decoding process efficiently without having to parse and analyze the entire multi-layer bitstream structure, thereby reducing signaling complexity.
3Adaptability or versatility
If layer information is signaled through the entire bitstream, then parsing procedures increase unnecessarily
Solution Approach 1:
The patent extracts layer information signaling from the entire bitstream and places it in specific NAL units. This allows the receiver to obtain necessary layer information (target output layer index and highest temporal ID) without parsing the complete bitstream, significantly reducing processing time while maintaining adaptability to different decoding scenarios.
Data Source
AI summary
According to an embodiment (embodiments) of the present document, multilayer-based coding may be executed. In the multilayer-based coding, a decoded picture based on a target output layer can be output, and, for example, the target output layer can be determined on the basis of an external means or signaled information. According to an embodiment according to the present document, image information acquired from a bitstream can include a specific NAL unit for scheduling target output layer-related information.