Visual Guidance System for Venue Media Surface Mapping
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Solution Overview
Problem
Existing systems fail to accurately predict and optimize the presentation of customized visual renderings on media surfaces in various venues, leading to unintended viewing experiences due to unique venue geometries and media surface configurations.
Innovation Solution
A system that uses a central server to perform experiments and analyses to derive visual guidance for presenting media content on media surfaces of venues, providing users with a heat map of attributes such as field of view, occlusion, and distortion, based on venue geometry and viewer locations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If customized visual renderings are presented on venue media surfaces, then the visual content should be accurately mapped based on unique venue geometry, but the media surfaces have different configurations depending on the venue causing unintended viewing experiences
Solution Approach 1:
The system performs experiments and analyses in advance to derive visual guidance attributes before actual content presentation. By pre-calculating heat maps of field of view, occlusion, and distortion based on venue geometry and media surface configurations, the system prepares optimization data beforehand, enabling accurate visual mapping when the actual presentation occurs.
Solution Approach 2:
The system changes multiple parameters simultaneously including venue geometry characteristics, media surface configurations, viewer location coordinates, and visual content attributes. By adjusting these parameters and analyzing their interactions through experiments, the system derives optimized visual guidance that adapts to specific venue conditions while maintaining mapping accuracy.
2Reliability
If visual content is mapped based on unique venue geometry, then viewing experience should be optimized, but prior systems are unable to forecast how customized visual renderings may be presented
Solution Approach 1:
The system performs comprehensive experiments and analyses beforehand to forecast visual rendering outcomes. By pre-calculating how customized visual renderings will be presented based on venue geometry and media surface properties, the system generates predictive heat maps that show field of view, occlusion, and distortion attributes before actual content delivery, enabling reliable viewing experience optimization.
Solution Approach 2:
The system uses derived visual guidance attributes as feedback to optimize visual content mapping. The heat map data regarding field of view, occlusion, and distortion provides feedback information that guides adjustments to visual rendering parameters, creating a closed-loop system that continuously improves prediction accuracy and viewing experience quality.
3Manufacturing precision
If experiments and analyses are performed to derive visual guidance, then accurate mapping can be achieved, but the system complexity increases
Solution Approach 1:
The system segments the complex task of visual optimization into distinct experimental and analytical components. By dividing the problem into separate analyses of field of view, occlusion, and distortion attributes, each handled through dedicated processing modules, the system manages complexity while maintaining overall mapping accuracy through coordinated integration of these segmented functions.
Data Source
AI summary
Systems, methods, and computer program products can provide visual guidance on presenting content on a media surface of a venue. These systems, methods, and computer program products can operate by mapping visual content onto a media surface of the venue and a key feature unique to the visual content and/or the media surface being extracted. Thereafter, these systems, methods, and computer program products can retrieve an experiment metric corresponding to the visual content and/or the media surface and can determine a viewer location metric and/or a media surface metric based on the experiment metric and the key feature. These systems, methods, and computer program products can utilize the viewer location metric and/or the media surface metric to provide a hint of the attribute to a user.