Mobile Device Location-Based 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 based on the viewing behaviors of other users, using mobile devices to acquire and push real-time video and audio information, allowing for interactive sharing of perspectives and perspectives through high-bandwidth local wireless channels, with features like replay sequences and smart gestures for camera angle selection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users manually select video channels on handheld devices, then they can choose specific perspectives of interest, but the system does not automatically adapt to user preferences or group viewing behaviors
Solution Approach 1:
The system enables automatic video feed selection by analyzing viewing behaviors of other users in the vicinity. The handheld device autonomously determines which video feeds to display based on aggregated user behavior data, eliminating the need for manual channel selection while adapting to group preferences without requiring individual user input.
Solution Approach 2:
The system continuously monitors and analyzes viewing behavior feedback from multiple users attending the live event. This feedback loop allows the system to dynamically adjust video feed selections based on real-time observations of what content other users are viewing, creating an adaptive system that learns from collective user preferences.
2Adaptability or versatility
If the system provides multiple video channels for users to select, then users can view different perspectives, but the system does not facilitate interaction or sharing of viewing experiences among spectators
Solution Approach 1:
The system merges individual viewing experiences into a shared group experience by displaying aggregated viewing behavior data on the handheld devices. Multiple users can simultaneously view the same live event content while their viewing behaviors are combined and visualized, enabling interaction and sharing among spectators without requiring separate individual selections.
Solution Approach 2:
The handheld device serves multiple functions: it displays video content, analyzes viewing behaviors, aggregates data from other users, and presents interactive viewing statistics. This multi-functionality enables both individual viewing flexibility and group interaction capabilities within a single device ecosystem.
3Extent of automation
If the system buffers multiple video feeds automatically, then the system can adapt to viewing behaviors, but it increases the complexity of managing and selecting which feeds to buffer
Solution Approach 1:
The system automatically determines which video feeds to buffer by analyzing viewing behaviors of users in the vicinity. The device self-manages feed selection without requiring complex user input or manual configuration, using algorithms that process user behavior data to autonomously decide which content to cache and display.
Solution Approach 2:
The system buffers video feeds selectively based on observed user preferences rather than attempting to buffer all possible feeds. By analyzing which feeds other users are viewing, the system buffers only the relevant portion of content needed for the current viewing context, reducing complexity while maintaining automation.
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.