Online Software Video Capture and Replay Using Backend Data
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing video games, particularly esports, lack comprehensive systems for capturing, processing, and analyzing user interactions to enhance spectator experience, competitive oversight, and data utilization.
Innovation Solution
A system comprising a video stream server and replay server that captures, processes, and generates new videos from user-activity data using predefined rules, enabling real-time and post-processing of user interactions in online multiplayer games, with features like cheating prevention, fraud detection, and enhanced content creation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If comprehensive video capture and processing systems are implemented, then spectator experience and competitive oversight are enhanced, but system complexity and data processing requirements increase
Solution Approach 1:
The system divides video processing into separate functional modules: video capture module, video processing module, and video delivery module. The video processing module further segments tasks into real-time processing and post-processing operations. This segmentation allows each component to be optimized independently while maintaining overall system reliability for competitive oversight.
Solution Approach 2:
A video processing server acts as an intermediary between the video capture system and video delivery system. This intermediary receives raw video data, processes it according to predefined rules and backend interaction data, and generates refined video content for delivery. The intermediary handles the complexity of data processing while presenting a simplified interface to both capture and delivery systems.
2Productivity
If real-time video processing and analysis are performed, then user activity monitoring and cheating prevention are improved, but processing time and computational resources increase
Solution Approach 1:
The system performs preliminary actions by capturing and pre-processing video data during gameplay events. Video segments are captured and初步 processed in real-time, with more intensive analysis performed after the event concludes. Backend interaction data is collected and prepared in advance to enable faster real-time processing decisions.
Solution Approach 2:
The system applies partial processing in real-time by focusing computational resources on key events and segments of interest rather than processing entire video streams continuously. Predefined rules determine which video segments require immediate processing versus post-processing, allowing the system to handle critical monitoring tasks with reduced processing time while maintaining thorough analysis for less time-sensitive content.
Data Source
AI summary
A user-activity video signal can be received. The user-activity video signal can comprise a video capture characterizing a user's interaction with a software application on a client. The software application can have an interface display space on the client and the software application can execute on the client in operation with at least one remote backend computing system. Backend user interaction data corresponding to the user's interaction with the software application as generated by the at least one remote backend computing system can be received. A new video comprising a plurality of divided segments of the user-activity video signal can be generated automatically using the backend user interaction data and a plurality of predefined rules. The new video can be provided. Related apparatus, systems, techniques, and articles are also described.