AUGMENTING MULTIMEDIA STREAMING BY ANTICIPATING EVENTS USING ARTIFICIAL INTELLIGENCE

Smart overview of the Invention

Overview: The patent application describes apparatuses, systems, and techniques designed to predict events during a gameplay session and modify game broadcasts based on these predictions. By anticipating in-game events, the system generates assets that enhance the broadcast once these events are detected, thereby improving viewer engagement and content quality.

Background: With the evolution of video games and digital content, there is an increasing demand for innovative ways to present this content to audiences. The rapid growth of game streaming and e-sports has highlighted the need for automated solutions to optimize content presentation, reducing reliance on manual intervention, which is resource-intensive and time-consuming.

Technical Approach: The disclosed system employs a dynamic asset generator to include overlays, effects, and audio in broadcasts, driven by predictions from a soft analyzer. This analyzer uses user input data to predict in-game events within specific time intervals. For instance, it might apply a slow-motion effect if a significant event is predicted to occur shortly. This prediction process is continuous, leveraging game data from client devices or servers.

Confirmation Mechanism: A hard analyzer works alongside the soft analyzer to confirm predicted events. It verifies occurrences by analyzing media streams from gameplay sessions. This step ensures that the dynamic asset generator only augments broadcasts when events are confirmed, enhancing accuracy and reliability. The hard analyzer periodically checks media for event confirmation within predicted time frames.

Implementation Examples: Various embodiments are illustrated in the application through figures depicting system architectures and processes. These include examples of game servers augmenting broadcasts with dynamically generated assets, analyzers predicting and confirming in-game events, and environments where user inputs determine event likelihoods. Such implementations demonstrate the system's capability to enrich gameplay streaming experiences effectively.