GPU Texture Video Reactions for Livestream Interfaces
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Solution Overview
Problem
Current browsers and personal computing systems face challenges in rendering multiple instances of GIF, WebP, or MP4 videos in real-time due to memory and processing limitations, especially with large audiences and unstable internet connections.
Innovation Solution
The system simulates a large audience by sending a subset of video frames from a live event server to client devices, where these frames are compressed into GPU textures, allowing efficient display of numerous video reactions without overburdening client resources, using KTX2 compression and WebGL memory for efficient rendering.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If multiple video reactions are rendered simultaneously in the display interface, then the audience visualization is improved, but the memory and processing resources of the client device are overwhelmed
Solution Approach 1:
The video reaction data is segmented into individual reaction elements that can be independently rendered. Each reaction is broken down into manageable components (video frames, metadata, timing information) that are processed separately by the GPU, allowing parallel rendering without overwhelming the system.
Solution Approach 2:
The patent replaces traditional CPU-based video rendering with GPU-based rendering. The GPU's parallel processing architecture is better suited for handling multiple video reactions simultaneously, substituting the mechanical processing approach to achieve higher throughput with lower resource consumption.
2Manufacturing precision
If full-resolution video frames are transmitted for all reactions, then the video quality is improved, but the network bandwidth and data transmission time are exceeded
Solution Approach 1:
The system extracts only the essential video frames needed to represent each reaction, rather than transmitting complete video streams. By selecting key frames and discarding redundant data, the patent reduces data transmission volume while maintaining sufficient video quality for reaction visualization.
Solution Approach 2:
The patent transmits a subset of video frames rather than all frames, using partial action to achieve the desired effect. This selective transmission of frames reduces data volume while still providing adequate visual representation of the reactions.
3Speed
If video reactions are displayed in real-time, then the responsiveness of the interface is improved, but the processing time and computational load increase
Solution Approach 1:
Video frames are pre-processed and prepared in advance on the server side before being transmitted to the client. This preliminary action includes frame selection, compression, and organization, reducing the processing burden on the client device and enabling faster real-time display.
Solution Approach 2:
The GPU automatically handles the rendering of video reactions using its dedicated video processing capabilities, reducing the need for CPU intervention. The system leverages the GPU's self-service nature to maintain real-time performance without excessive computational load.
Data Source
AI summary
A system and/or method for efficiently playing a multitude of short looping videos at the same time on a client's browser screen (or live event interface) by leveraging the GPU capabilities instead of relying on traditional video/GIF playback methods. In a specific embodiment the looping videos are implemented as GPU compressed textures (e.g., using KTX2 compression)