Transform Skip and Palette Coding Parsing for Video Compression
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Solution Overview
Problem
The increasing demand for high resolution and high quality images/videos, such as 4K and 8K Ultra High Definition, poses a challenge due to the higher amount of information required for transmission and storage, leading to increased costs. Additionally, the need for efficient compression techniques is exacerbated by the growing interest in virtual reality, artificial reality, and immersive media.
Innovation Solution
The proposed solution involves enhancing video/image coding efficiency by efficiently parsing and signaling transform skip and/or palette coding related information. This is achieved by defining a dependent condition for parsing syntax elements with dependency, and determining whether to perform parsing based on this condition. Specifically, the method includes determining whether to parse information related to the minimum allowed quantization parameter for the transform skip mode, based on the enablement of transform skip and palette coding.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high resolution and high quality image/video (4K, 8K UHD) are transmitted and stored, then image quality is improved, but transmission and storage costs increase
Solution Approach 1:
The patent extracts and removes redundant or less important information from high resolution images/videos during compression. By selectively discarding certain data elements that contribute minimally to perceived quality, the system reduces the total amount of information that needs to be transmitted and stored, thereby lowering costs while preserving essential image quality.
Solution Approach 2:
The patent employs parameter changes in compression algorithms to optimize the balance between image quality and data quantity. By adjusting compression parameters, quantization levels, and encoding settings, the system can dynamically control the amount of information retained versus discarded, enabling efficient compression of 4K/8K content without proportionally increasing transmission and storage requirements.
2Adaptability or versatility
If transform skip and palette coding related information is fully parsed and signaled, then coding flexibility is improved, but bit transmission increases
Solution Approach 1:
The patent applies preliminary action by determining in advance which transform skip and palette coding related information is actually needed for the current coding scenario. By pre-assessing the coding context and only signaling necessary parameters, the system maintains coding flexibility where needed while avoiding transmission of redundant information, thus reducing overall bit transmission.
Solution Approach 2:
The patent implements partial action by selectively parsing and signaling only the subset of transform skip and palette coding information that is relevant to the current block or picture characteristics. Rather than always transmitting complete coding parameter sets, the system transmits only the necessary portion, reducing bit transmission while preserving adequate coding flexibility for the specific content being encoded.
Data Source
AI summary
According to disclosures of the present document, dependency conditions can defined for effectively parsing/signaling syntax elements having dependency to transform skip- and/or palette coding-related data, and, on the basis of the dependency conditions, whether or not to parse the transform skip- and/or palette coding-related data can be determined. As a result, bits necessary to be signaled for video/image coding can be reduced and coding efficiency can be improved.