Mobile Device Personalized Video Feed Selection
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Solution Overview
Problem
Existing content delivery systems for live events do not automatically select and display video feeds based on viewer behavior, nor do they facilitate interaction and sharing of experiences among spectators, requiring users to actively choose channels and lacking group interaction features.
Innovation Solution
A system that automatically buffers and displays video feeds on mobile devices based on the viewing behaviors of other users, using behavioral analysis and physical location, interests, and social networking data to select and display video feeds, allowing for shared replays and interactive experiences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the system provides multiple video channels for selection, then the user can view different perspectives of the live event, but the user must actively engage in determining which channels to view
Solution Approach 1:
The system automatically performs channel selection and video feed determination without requiring active user engagement. The mobile device autonomously receives video feeds from multiple cameras, determines which feeds to display based on various criteria, and presents them to the user without manual intervention, thus resolving the contradiction between providing channel versatility and reducing operational effort
Solution Approach 2:
The system incorporates feedback mechanisms by considering user viewing behaviors, group viewing patterns, and event context to dynamically adjust which video feeds are selected and displayed. This feedback loop enables the system to adaptively serve users based on their preferences and behaviors while maintaining ease of operation
2Ease of operation
If the system delivers video content to individual devices, then users can view content on personal devices, but groups of spectators cannot interact and share viewing experiences
Solution Approach 1:
The system merges individual viewing capabilities with group interaction features by enabling multiple mobile devices to connect to the same video feeds and share viewing experiences. Users can view content on their personal devices while simultaneously engaging with others in their vicinity, combining the benefits of individual device portability with group social interaction
Solution Approach 2:
The system provides multi-functionality by supporting both individual viewing and group interaction modes. The same mobile device and video feed infrastructure serves dual purposes: delivering personalized content to individuals while also enabling shared group experiences through proximity-based connection and synchronized viewing, thus making the system adaptable to different social contexts
3Extent of automation
If the system buffers multiple video feeds, then relevant feeds can be automatically selected based on viewing behavior, but system complexity increases
Solution Approach 1:
The system applies partial action by buffering and processing only a subset of available video feeds rather than all feeds simultaneously. It selectively determines which feeds to buffer based on user viewing behaviors, event context, and group patterns, performing excessive buffering only when necessary to maintain automatic selection capability while managing device complexity
Solution Approach 2:
The system dynamically adjusts buffering parameters such as buffer size, video feed quality, and number of concurrent feeds based on device capabilities, network conditions, and user behavior patterns. This parameter adaptation enables automatic feed selection while optimizing resource usage and managing system complexity across different operating conditions
Data Source
AI summary
Methods for automatically buffering and displaying video feeds associated with a live event are described. The video feeds displayed on the mobile device may comprise live video feeds or replays associated with the live event. A replay may comprise a playback of one or more buffered video feeds in a particular sequence and at a particular playback rate. The particular sequence may be determined based on the viewing behavior of the end user of the mobile device and/or the viewing behaviors of one or more other end users using other mobile devices at the live event. In some cases, the replay may comprise a shared replay in which a group of end users attending the live event may interact with each other while sharing a common replay.