Video Game Streaming Adaptation via Viewer Feedback Analysis
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Solution Overview
Problem
Existing live game streaming platforms lack the ability to dynamically adapt video game content in real-time based on viewer feedback, leading to a passive spectator experience and increased system complexity due to the large volume of feedback data from numerous spectators.
Innovation Solution
A system comprising a video streaming engine and an analysis engine that selects and transmits video game streams, receives feedback data from client devices, and analyzes it to determine aggregate user interest, allowing for real-time adaptation of video game content by switching streams, re-streaming segments, or applying video editing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the system processes feedback data from hundreds of thousands or millions of spectators in real-time, then viewer engagement is enhanced through dynamic content adaptation, but system complexity and computational load increase significantly
Solution Approach 1:
The system segments the massive feedback data processing task into multiple analysis stages. The analysis engine divides spectator feedback into discrete interaction events (clicks, hovers, comments) and processes them in manageable batches, allowing real-time adaptation without overwhelming system resources.
Solution Approach 2:
The patent introduces an intermediary analysis engine that acts as a mediator between the feedback data collection system and the video streaming engine. This intermediary layer aggregates and filters feedback data, transforming raw spectator interactions into actionable insights that the streaming engine can process efficiently.
2Measurement precision
If the system collects and processes detailed feedback data from user interactions and comments, then aggregate user interest can be determined accurately, but data processing time and computational resources increase
Solution Approach 1:
The analysis engine implements partial processing by focusing on the most significant feedback signals (e.g., clicks and hovers on interactive overlays) rather than processing every single user interaction with equal depth. This allows accurate determination of aggregate user interest while reducing overall processing time.
Solution Approach 2:
The system performs preliminary aggregation of feedback data at the client device level before transmitting to the server. Each client device pre-processes its own interaction data, summarizing user behavior patterns locally, which reduces the volume of data requiring centralized processing and accelerates overall analysis.
3Ease of operation
If the system provides passive spectator experience with limited functionality, then system complexity is reduced, but viewer engagement and entertainment value decrease
Solution Approach 1:
The system implements a closed-loop feedback mechanism where spectator interactions (clicks, hovers, comments) are continuously collected, analyzed, and used to dynamically adjust the video stream content. This feedback loop transforms the traditionally passive viewing experience into an interactive one without requiring complex manual intervention.
Solution Approach 2:
The streaming system automatically adapts content based on aggregated feedback data without requiring manual moderator intervention. The analysis engine and video streaming engine work autonomously to interpret spectator preferences and adjust the stream accordingly, reducing operational complexity while enhancing engagement.
Data Source
AI summary
Systems and methods to provide adaptable live video game streaming can include one or more servers selecting a video game stream from a plurality of video game streams associated with distinct viewpoints of an online game, and transmitting a first plurality of video game frames of the selected video game stream to a live streaming system for streaming to a plurality of client devices. The server(s) can receive feedback data from the plurality of client devices, and analyze the feedback data to determine an aggregate user interest in a portion of video game content associated with the online game. The server(s) can transmit a second plurality of video game frames associated with the portion of video game content to the live streaming system for streaming to the client devices.