Virtual Set Top Box Transparency Overlay Compression
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Solution Overview
Problem
The performance of virtual set top boxes on cloud servers is hindered by the high efficiency required for transparency overlay processing, leading to increased load and resource consumption, which affects response timeliness and system performance.
Innovation Solution
A transparency overlay method that acquires transparency layout features of images, determines if compression is allowed for each block, and performs compression processing using fewer sampling points, reducing the overall transmission amount of transparency data and enhancing efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If full number of transparency data sampling points are transmitted to ensure lossless image quality, then image quality is improved, but cloud server load increases and response timeliness deteriorates
Solution Approach 1:
The patent divides the picture into multiple blocks and processes transparency data for each block separately. By analyzing transparency layout features at the block level, the system can apply different sampling strategies to different regions, reducing overall data transmission while maintaining visual quality in important areas.
Solution Approach 2:
The patent applies different transparency data sampling densities to different blocks based on their transparency layout features. Blocks with complex transparency patterns use full sampling, while blocks with simple patterns use reduced sampling. This local differentiation maintains image quality where needed while reducing overall data transmission load.
2Measurement precision
If full number of transparency data sampling points are transmitted to ensure image quality, then transparency overlay quality is improved, but cloud server resource consumption increases
Solution Approach 1:
The patent transmits only the necessary portion of transparency data by using fewer sampling points in blocks where full sampling is not required. By transmitting partial transparency data (less than full number of sampling points) for certain blocks, the system reduces resource consumption while maintaining sufficient overlay quality through intelligent selection of sampling density.
3Reliability
If full number of transparency data sampling points are transmitted, then transparency data completeness is improved, but transmission amount increases and cloud server load increases
Solution Approach 1:
The patent extracts and transmits only the essential transparency data needed for visual reconstruction. By removing redundant sampling points in blocks where they are not necessary, the system reduces transmission amount while maintaining the completeness of essential transparency information required for acceptable image quality.
Data Source
AI summary
The embodiments of the present disclosure provide a transparency overlay method for a virtual set top box, a virtual set top box and a storage medium. Transparency layout features of a picture presented by an application scenario of the virtual set top box are acquired; whether compression processing of transparency data is allowed for each block on the picture is determined according to the transparency layout features; and compression processing of transparency data is performed on each allowed block, and transparency overlay is performed according to transparency data sampling points less than full number of transparency data sampling points in each allowed block.