Gameplay Bookmarking with AI Context Tags and State Replay
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Solution Overview
Problem
Players struggle to recall and revisit memorable moments in complex video games due to their complexity, making it difficult to revisit interesting events or content.
Innovation Solution
A system and method for bookmarking gameplay moments using contextual analysis, state data, and artificial intelligence to capture, manage, and enrich bookmarks with metadata, allowing players to tag, share, and replay significant moments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If video games become more complex with more content and events, then the gaming experience is enhanced, but it becomes harder for players to recall and revisit memorable moments
Solution Approach 1:
The system performs preliminary analysis of game frames during gameplay to identify memorable moments before the player needs to review them. AI models continuously analyze game states, detect significant events, and prepare bookmark data in advance, so when players want to revisit moments, the information is already organized and ready for quick access.
Solution Approach 2:
The patent introduces an intermediary bookmarking system that acts as a mediator between the complex game world and the player's memory. The system captures game frames, analyzes them with AI models, extracts key features, and stores them as searchable bookmarks with metadata. This intermediary layer helps players navigate complex game content without needing to remember all details.
2Loss of information
If manual bookmarking is implemented to help players revisit moments, then memorable moments can be captured, but it requires significant player time and effort to manually select and organize bookmarks
Solution Approach 1:
The system performs self-service by automatically analyzing game frames, detecting memorable moments, and creating bookmarks without requiring player intervention. AI models continuously monitor game states, identify significant events based on predefined criteria, and generate bookmark entries autonomously. Players can simply review and select from automatically generated bookmarks rather than manually creating each one.
Solution Approach 2:
The patent replaces the mechanical manual bookmarking process with an automated AI-based system. Instead of players manually capturing and organizing frames, machine learning models analyze game content, detect patterns, and automatically generate structured bookmarks with metadata. This substitution dramatically reduces the time and effort players need to invest in bookmark creation.
3Loss of information
If all game frames are stored for later review, then complete gameplay content is preserved, but storage requirements and data management complexity increase significantly
Solution Approach 1:
The system extracts only the essential and memorable portions of game content rather than storing all frames. AI models analyze game frames in real-time, identify significant moments based on predefined criteria (such as rare events, achievements, or player actions), and extract only these relevant frames for bookmarking. This extraction approach preserves important gameplay content while dramatically reducing the volume of data that needs to be stored and managed.
Solution Approach 2:
The patent applies local quality by differentiating between important and unimportant game frames. Instead of uniform treatment of all frames, the system assigns different qualities or priorities based on AI analysis. Memorable moments are marked with higher priority and detailed metadata, while ordinary frames are either summarized or not stored individually. This localized differentiation reduces overall data complexity while preserving essential content.
Data Source
AI summary
Methods and systems are provided for recording gameplay moments during gameplay of a video game is provided. The method includes executing the video game to generate a plurality of video frames. The method includes receiving inputs from a player of the video game. The inputs facilitate said gameplay of the video game by the player and causes updating of said plurality of video frames as the player makes progress in the video game. The method includes receiving an input to bookmark a frame region rendered in a video frame of said plurality of video frames. The method includes associating an identifier to the bookmark. The identifier is descriptive of content present in the frame region. The method includes saving state data for the bookmark. The state data for the bookmark enables subsequent selection of the bookmark from a user interface to load at least the video frame along with said identifier.