Activity-Based Video Content Replacement During Player Downtime
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Solution Overview
Problem
Existing video streaming technologies face challenges in intelligently replacing primary video content with secondary content during periods of lower viewer interest, such as loading stages or character deaths, without manually interfering with the streamer's gameplay, which can be cumbersome and distracting.
Innovation Solution
Implementing an activity-based streaming video replacement system that uses automated software-based image analysis and video game state data to detect temporary decreases in player activity, allowing the video streaming service to selectively replace lower interest portions with secondary content, such as video from other games experiencing high activity levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual selection of portions for replacement is implemented, then control over content replacement is improved, but streamer distraction and operational complexity increase
Solution Approach 1:
The system automatically detects activity decreases in the primary video content and performs content replacement without requiring streamer intervention. The streaming service monitors activity metrics, identifies low-interest portions, and seamlessly swaps in secondary content, allowing the system to serve itself rather than requiring manual control.
Solution Approach 2:
The patent replaces manual mechanical intervention with automated electronic detection and control systems. Software-based activity analysis and automated content switching substitute for the streamer's manual actions, eliminating the need for human-operated content replacement while maintaining or improving control precision.
2Productivity
If primary video content is replaced with secondary content during low activity periods, then viewer engagement is improved, but content continuity may be disrupted
Solution Approach 1:
The system dynamically adjusts content delivery based on real-time activity detection. When activity decreases are detected in the primary content, the system transitions to secondary content, and when activity increases occur, it transitions back to primary content. This dynamic adaptation maintains viewer engagement while preserving overall content continuity through contextually appropriate switching.
Solution Approach 2:
The system employs periodic monitoring of activity metrics to determine when to switch between primary and secondary content. By detecting periodic patterns of activity decrease and increase, the system rhythmically alternates content sources, ensuring viewer engagement during low-interest periods while maintaining the natural flow and continuity of the overall streaming experience.
Data Source
AI summary
An input video stream may include primary video content, such as output from a first video game. An indication of a decrease in player activity in the first video game may be detected. A determination may be made, based at least in part on the indication of the decrease in player activity, to replace a portion of the primary video content with secondary video content. The decrease in player activity in the first video game may coincide with an increase in player activity in a second video game. An indication of this increase in player activity may be detected. The second video game may be selected, based at least in part on the indication of the increase in player activity, to provide the secondary video content. An output video stream is provided in which the selected portion of the primary video content is replaced by the secondary video content.