NAL Unit Type-Based Video Coding Signaling
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Solution Overview
Problem
Current video/image coding technologies face challenges in efficiently compressing and transmitting high-resolution and high-quality images and videos, particularly with the increasing demand for immersive media like virtual reality and augmented reality content. Additionally, existing methods struggle with improving image/video coding efficiency based on network abstraction layer (NAL) unit-related information, especially for pictures with mixed NAL unit types.
Innovation Solution
The proposed method enhances video/image coding efficiency by allowing signaling and coding of reference picture list information for slices in pictures with mixed NAL unit types. Specifically, for slices with specific NAL unit types, such as IDR, information related to signaling a reference picture list may be present, and NAL unit types for slices in a picture are determined based on NAL unit type-related information, enabling different NAL unit types for slices in pictures with mixed types.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If image data is transmitted using existing wired or wireless wideband lines or stored using existing storage media, then transmission and storage can be performed, but transmission costs and storage costs are increased due to the large amount of information in high-resolution and high-quality images and videos
Solution Approach 1:
The patent extracts and removes redundant information from video data through advanced compression techniques. The video coding system identifies and eliminates duplicate or unnecessary data elements, keeping only the essential information needed for high-quality reconstruction, thereby reducing the total quantity of data that needs to be transmitted or stored
Solution Approach 2:
The patent transforms video data by changing its representation parameters through compression algorithms. By converting video information into a more efficient parameterized form (such as transform coefficients, motion vectors, and prediction residues), the system reduces the amount of data while preserving the essential visual information, thus lowering transmission and storage requirements
2Measurement precision
If reference picture list information is signaled for all slices in pictures with mixed NAL unit types, then decoding accuracy is improved, but signaling overhead and processing complexity are increased
Solution Approach 1:
The patent applies different levels of reference picture list signaling to different regions (slices) within a picture based on their specific needs. Slices with mixed NAL unit types that require higher decoding accuracy receive full reference picture list information, while other slices use simplified or omitted signaling, thereby achieving local optimization of decoding quality without uniformly increasing complexity across the entire picture
Solution Approach 2:
The patent implements partial signaling of reference picture list information rather than complete signaling for all slices. By selectively applying reference picture list signaling only where necessary (in slices with specific NAL unit types), the system achieves sufficient decoding accuracy for critical regions while avoiding the excessive overhead and complexity that would result from universal application
Data Source
AI summary
According to the disclosure of the present document, a syntax structure and a syntax element may be provided wherein the syntax structure and syntax element enable, on the basis of whether an NAL unit type mixed with a picture is allowed, the existence of signaling-related information of a reference picture list with respect to a slice having a specific NAL unit type in the picture.