Aerosol Video Playback Using Grid Vectors and Brightness Interpolation
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Solution Overview
Problem
Existing game content playback systems struggle to render high-quality videos of aerosols like clouds, fog, haze, and gas due to limited computer resources, particularly in devices like smartphones, which lack sufficient computing power and storage capacity.
Innovation Solution
A content-video playback program and device that employs a video playback processing unit to extract and interpolate image data from a compressed video file, using grid vectors to minimize computational load, allowing for high-quality rendering of atmospheric effects with reduced resource consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If volume rendering with multiple scattering is used to render clouds, then rendering quality is improved, but computational load increases significantly
Solution Approach 1:
The patent segments the cloud rendering process into two distinct phases: an offline pre-computation phase that calculates multiple scattering effects and stores them in volume data, and an online real-time phase that simply retrieves and displays the pre-computed data. This segmentation allows the computationally intensive multiple scattering calculations to be performed once during pre-processing, while real-time rendering uses minimal computational resources.
Solution Approach 2:
The patent performs the computationally intensive multiple scattering calculations in advance during an offline pre-computation phase, storing the results in pre-computed volume data. This preliminary action eliminates the need to perform complex calculations during real-time rendering, thereby reducing computational load while maintaining high rendering quality.
2Speed
If real-time rendering with GPU is used, then rendering speed is improved, but rendering quality for wide landscapes is insufficient
Solution Approach 1:
The patent performs complex multiple scattering calculations in advance during offline pre-computation, storing results in volume data that can be quickly retrieved and rendered in real-time. This preliminary action enables both high rendering speed and high rendering quality to be achieved simultaneously.
Solution Approach 2:
The patent creates pre-computed volume data that serves as a copy of the complex scattering information, which can be efficiently stored and rapidly retrieved during real-time rendering. This copying approach allows the system to avoid repeating complex calculations while maintaining visual fidelity.
3Manufacturing precision
If high-quality cloud videos are played back, then visual quality is improved, but computer resource consumption increases
Solution Approach 1:
The patent pre-computes cloud video data offline with full visual quality, then stores it for efficient playback. During actual playback, the system simply retrieves and displays the pre-rendered frames with interpolated motion vectors, consuming minimal computational resources while maintaining high visual quality.
Solution Approach 2:
The patent creates a copy of the high-quality cloud video data in advance, storing it in a format optimized for efficient playback. This allows the system to play back visually stunning cloud videos without requiring high computational resources during runtime.
Data Source
AI summary
In order to provide a content-video playback program, a content-video playback device, a content-video playback method, a content-video-data generation program, and a content-video-data generation device that are capable of playing back a high-quality video of aerosols in the atmosphere, such as cloud, fog, haze, steam, and gas, with less computer resources, a video playback processing unit that plays back a compressed video data generates video data, with high reproducibility, through only simple calculation processing in which items of grid-cell image data are moved by grid vectors, and brightness interpolation calculation processing is performed.