Video Coding Splitting Depth Adjustment for Multiview Efficiency
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Solution Overview
Problem
Current video signal coding technologies face inefficiencies in managing the complexity of depth data, particularly in multiview video coding, where the characteristics of depth data differ from texture data, leading to suboptimal coding efficiency.
Innovation Solution
The method involves adjusting the maximum splitting information of a conversion unit based on the type of prediction unit and coding unit, and determining the optimal splitting information for depth blocks using the maximum splitting information from texture data to reduce complexity without compromising efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the maximum splitting information of conversion unit is fixed for all data types, then the device complexity is reduced, but the coding efficiency deteriorates due to inability to adapt to depth data characteristics
Solution Approach 1:
The patent implements dynamic adjustment of maximum splitting information for conversion units based on data type characteristics. The system varies the maximum splitting depth parameter (maxDepth) between texture data and depth data, allowing the coding process to adapt to different statistical properties and structural characteristics of each data type, thereby improving coding efficiency without excessive complexity increase
Solution Approach 2:
The patent changes the parameter values of maximum splitting information based on the type of data being processed. Specifically, different maxDepth values are assigned for texture versus depth data, enabling the system to optimize coding performance for each data type while maintaining manageable device complexity through parameterization rather than structural complexity
2Productivity
If the maximum splitting information is adjusted according to prediction unit and coding unit types, then the coding efficiency is improved, but the device complexity increases
Solution Approach 1:
The patent applies different maximum splitting information settings to different regions and data types within the video signal processing system. Specifically, texture data and depth data receive different maxDepth values based on their local characteristics, allowing optimized coding efficiency for each region type while maintaining overall system manageability through localized parameter adjustment rather than global complexity
Solution Approach 2:
The system dynamically adjusts maximum splitting information based on the type of prediction unit and coding unit being processed. This dynamic adaptation allows the system to respond to different data characteristics in real-time, improving coding efficiency while the dynamic nature of the adjustment prevents the need for complex static configuration management
Data Source
AI summary
The present invention variably adjusts the maximum splitting information of a conversion unit according to the type of prediction unit and the splitting information on a coding unit and selects the optimal splitting information on the conversion unit. The present invention determines the maximum splitting information on the conversion unit of a depth block by using the maximum splitting information on the conversion unit for texture data. The present invention may lower complexity without a loss in efficiency by variably adjusting the maximum splitting information on the conversion unit in consideration of the characteristics of the depth data. The present invention may lower complexity by determining the maximum splitting information on the conversion unit of the depth data by using similar characteristics between the texture data and the depth data.