Vector-Space Framework for Gameplay Content Search
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Solution Overview
Problem
Conventional methods for identifying relevant gameplay content in game environments are inadequate due to their reliance on text queries, which fail to capture diverse features like sounds, images, and videos, especially in immersive experiences, leading to inefficient content evaluation and search processes.
Innovation Solution
A vector-space framework is employed to monitor user streams and frames, generate user queries based on feature-values, map them to user vectors, and select relevant content streams based on proximity, prioritizing them according to features such as gameplay transition times, votes, points, and popularity metrics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If text queries are used to search for gameplay content, then the search process can be implemented with simple algorithms, but the ability to capture diverse features (sounds, images, videos, feedback) is inadequate
Solution Approach 1:
The patent introduces a vector-space framework as an intermediary between the diverse gameplay features and the search algorithm. Multiple features (sounds, images, videos, feedback) are transformed into vector representations that can be processed by proximity-based search algorithms, enabling diverse feature capture without requiring complex multi-modal processing in the search algorithm itself
Solution Approach 2:
The patent transforms diverse gameplay features into a unified parameter representation (vectors in a vector-space). By changing the representation parameters from raw multi-modal data to numerical vectors, the system can capture diverse features while using simple proximity-based search operations
2Measurement precision
If sophisticated search algorithms and powerful processing hardware are used, then content evaluation accuracy improves, but the time and complexity of the search process increases
Solution Approach 1:
The patent performs preliminary action by pre-computing vector representations for all gameplay content and organizing them in a vector-space framework before search operations. This pre-processing enables fast proximity-based search without requiring complex algorithms during the actual search, reducing search time while maintaining evaluation accuracy
Solution Approach 2:
The patent replaces complex search algorithms with simpler proximity-based operations in vector-space. Instead of using sophisticated text-matching or multi-modal analysis during search, the system uses computationally efficient distance calculations in the pre-computed vector-space, reducing search time while maintaining accuracy
3Ease of operation
If text queries with carefully crafted keywords are used, then the search can be implemented with simple processing, but the queries become inadequate and inappropriate for capturing diverse gameplay features
Solution Approach 1:
The patent creates vector copies of diverse gameplay features that preserve the essential information while enabling simple search operations. Instead of requiring complex text queries to describe sounds, images, and videos, the system uses vector representations that automatically capture these features, maintaining information completeness while simplifying the search interface
Solution Approach 2:
The patent creates a universal vector representation that can represent multiple feature types (sounds, images, videos, feedback) in a unified framework. This universal representation allows simple proximity-based search to work across all feature types simultaneously, maintaining ease of operation while preventing information loss
Data Source
AI summary
A media system employs techniques to identify relevant gameplay content in a game environment using a vector-space framework. These techniques include generating a user query based on feature-values for features associated with a user frame of a user stream, mapping the user query to a user vector in a vector-space, selecting relevant content streams from a plurality of content streams based on a proximity between the user vector and position vectors mapped to the plurality of content streams, and presenting at least a portion of the relevant content streams.