Video Decoding Using String Length Resolution for Memory Alignment
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Solution Overview
Problem
Current video coding and decoding standards, such as VVC and AVS3, face inefficiencies in coding and decoding due to the intra string copy (ISC) technique, which results in low coding and decoding efficiency for pixel strings.
Innovation Solution
The proposed solution involves a video decoding method and apparatus that uses a string length resolution (SLR) to limit the length of pixel strings to multiples of the SLR, improving uniformity and allowing for memory alignment during coding and decoding. Additionally, methods for binarizing and inversely binarizing string length information based on the SLR are provided to enhance coding and decoding performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If pixel strings are divided with any integer pixel length in ISC technique, then flexibility in string length is improved, but coding and decoding efficiency deteriorates
Solution Approach 1:
The patent changes the parameter of string length from arbitrary integer values to values that are multiples of a specific resolution (e.g., 4 pixels). This parameter constraint improves memory alignment and processing efficiency while maintaining sufficient flexibility for most practical cases. The resolution-based approach balances adaptability with computational efficiency.
Solution Approach 2:
The patent segments the coding block into pixel strings with lengths constrained to multiples of the resolution. This segmentation approach, combined with the resolution constraint, allows for systematic processing and memory alignment, improving coding and decoding efficiency while retaining reasonable flexibility through the ability to choose different resolution values.
2Measurement precision
If string length information is directly binarized without SLR compression, then representation accuracy is improved, but binarization complexity increases
Solution Approach 1:
The patent applies preliminary action by first dividing the string length by the SLR to obtain a compressed value before binarization. This pre-processing step reduces the magnitude of the value to be binarized, decreasing the number of bits required while maintaining the ability to accurately represent the original string length through the relationship: string_length = binarized_value × SLR.
Solution Approach 2:
The patent transforms the parameter being binarized from the actual string length to a compressed value (string length divided by SLR). This parameter transformation reduces the dynamic range of the value, leading to more compact binarization representation while preserving the essential information through the known SLR relationship.
Data Source
AI summary
This application relates to the field of video coding and decoding technologies, and provides a video decoding method and apparatus, a video coding method and apparatus, a device, and a storage medium. The method includes decoding, from a bit stream, a binary symbol string with string length information of a current string, the string length information comprising information related to a string length of the current string; inversely binarizing the binary symbol string according to a string length resolution (SLR) of the current string, to obtain the string length information; and determining the string length of the current string according to the string length information.