Video Display System for Large-Scale LED Stage Mapping
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Solution Overview
Problem
Large-scale performance dynamic stages face challenges in managing video display content across numerous LED screens, including high hardware complexity, inefficient memory utilization, and lengthy digital mapping times, due to the need for separate software tools for each stage modeling and manual content design for each screen.
Innovation Solution
A video display method that decomposes source videos into frame images, processes them based on stage configuration parameters to determine display regions and contents, and copies these contents to target memory for synchronized display across multiple screens, reducing hardware complexity and improving memory efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If separate software tools are used for each stage modeling and manual content design for each screen, then display accuracy can be achieved, but hardware complexity and time consumption increase significantly
Solution Approach 1:
The patent applies universality by developing a unified digital mapping solution that works across different stage models and configurations. The system uses a single software platform that can handle various stage setups without requiring separate specialized tools for each modeling scenario, thereby reducing hardware complexity while maintaining display accuracy through standardized processing pipelines.
Solution Approach 2:
The patent employs copying by automating the content distribution process. Instead of manually designing content for each screen, the system copies and maps video frames to multiple display screens automatically based on stage modeling parameters. This automated copying process reduces both hardware complexity and time consumption while preserving display accuracy through precise coordinate transformation.
2Manufacturing precision
If manual content design is performed for each screen, then display precision is maintained, but processing time and labor requirements increase
Solution Approach 1:
The patent implements self-service by enabling the system to automatically process and distribute video content across multiple screens without manual intervention. The automated mapping process uses stage modeling parameters to self-determine display regions and coordinates, maintaining display precision while significantly reducing processing time and labor requirements compared to manual content design for each screen.
Solution Approach 2:
The patent applies preliminary action by pre-processing video frames and pre-calculating mapping relationships based on stage configuration files before actual display. The system prepares display content in advance and establishes mapping templates beforehand, so that during execution, content can be rapidly distributed to screens without time-consuming manual design, thus reducing processing time while maintaining precision through pre-established mapping parameters.
3Ease of manufacture
If traditional video display methods are used, then implementation simplicity is maintained, but memory utilization efficiency and mapping speed are insufficient
Solution Approach 1:
The patent applies parameter changes by optimizing memory management through dynamic allocation and utilization of video frame data. The system changes memory parameters by processing and storing only the necessary portion of video frames for each display screen based on stage configuration, thereby improving memory utilization efficiency and mapping speed while maintaining implementation simplicity through automated parameter adjustment.
Solution Approach 2:
The patent implements segmentation by dividing the video display process into discrete manageable segments: frame extraction, region determination, content mapping, and display output. Each segment is processed independently and efficiently, improving overall mapping speed. The segmentation approach maintains implementation simplicity by breaking down the complex display task into standardized modules that can be executed sequentially with optimized memory utilization.
Data Source
AI summary
A video display method includes: acquiring at least one frame image corresponding to a current display time point in at least one source video; reading a stage configuration file, obtaining a stage modeling parameter of the stage space at the current display time point and a corresponding relationship between the at least one frame image and the stage space according to a specific stage related parameter in the stage configuration file; according to the stage modeling parameter and the corresponding relationship, processing the at least one frame image to obtain divided regions corresponding to all display screens included in the at least one stage plane; determining display contents corresponding to the divided regions, and copying the display contents to at least one target memory; and outputting a content in the at least one target memory to the at least one stage plane for display.