Timestamp-Indexed Coaching Video Retrieval in Cloud Gaming
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Solution Overview
Problem
Users of cloud gaming systems face inefficiencies in finding relevant coaching videos for specific game levels, actions, or events, as existing online videos are not typically associated with the user's current gameplay state or time, forcing users to search extensively for relevant content.
Innovation Solution
A cloud gaming system that allows users to create and post coaching videos, which are indexed to specific gameplay timestamps, enabling users to request and view coaching videos relevant to their current gameplay state, with features like pausing gameplay to access coaching options, rating systems for video quality, and simultaneous playback of coaching videos during gameplay.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If users search for coaching videos online, then they can find some gaming guidance, but the videos are not associated with the user's current gameplay state or time, requiring extensive searching
Solution Approach 1:
The system pre-records coaching videos at specific gameplay timestamps during the original player's gaming session. When another user encounters the same gameplay situation, the system automatically retrieves and presents the pre-recorded coaching video, eliminating the need for users to search for relevant content.
Solution Approach 2:
The system creates copies of coaching videos from the original gameplay sessions and stores them in a database. These copied videos are then retrieved and presented to users based on their current gameplay state, ensuring relevant information is delivered without requiring users to search extensively.
2Ease of operation
If coaching videos are created and stored in a database, then relevant coaching can be provided at specific game moments, but the system complexity increases
Solution Approach 1:
The cloud gaming system performs multiple functions: it executes games, records gameplay, captures user commentary, processes videos, stores them in a database, and retrieves them for presentation. This multi-functional approach consolidates complexity into a single universal system rather than requiring separate specialized systems for each function.
Solution Approach 2:
The system introduces a database as an intermediary between video storage and retrieval operations. The database manages the complexity of storing and organizing coaching videos, while presenting a simple interface to users who can request coaching by providing game state information without needing to understand the underlying system complexity.
3Loss of time
If coaching videos are presented during gameplay, then users receive timely guidance, but gameplay is interrupted when pausing to access coaching options
Solution Approach 1:
The system allows users to pause gameplay temporarily to access coaching videos, accepting a brief interruption as a trade-off for delivering relevant coaching information. The pause is minimal and targeted only at the moment when coaching is most needed, rather than continuously interrupting gameplay.
Solution Approach 2:
The system prepares and buffers coaching videos in advance before they are needed during gameplay. When a user requests coaching, the video is already ready for immediate presentation, minimizing the pause duration and reducing the interruption to gameplay continuity.
Data Source
AI summary
Systems and methods are provided for enabling users playing online games to create coaching videos of gameplay, and post such coaching videos to a cloud gaming system. In one example, coaching videos include a video clip of the gameplay and a video of the user, guiding and/or explaining how the game was played. A user playing the same game may desire coaching, and the cloud gaming system can identify previously posted coaching videos that correspond to the point in time or action in which the user requesting coaching is currently playing. The cloud system can access a database of coaching options, which are then presented to a user. The coaching options may be videos of gameplay and videos of the user providing coaching. The user can then view the coaching videos, rate them if desired, and then resume with his or her gameplay.