On-Demand POV Streaming via Dynamic Streamer Matching
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional live point-of-view streaming services are limited by a lack of available streamers and do not allow users to remotely control or request specific locations for video recording, restricting their interactive and on-demand capabilities.
Innovation Solution
A network of computer servers and devices that match users with mobile streamers based on attributes such as location, behavior, and availability, enabling on-demand live point-of-view streaming services by weighting static and dynamic attributes to optimize streamer allocation and user experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional live POV streaming services are used, then users can access live video feeds, but the number of available streamers is limited and users cannot remotely control or request specific locations
Solution Approach 1:
The patent introduces a server as an intermediary between users and streamers. The server receives user requests for specific locations, matches them with available streamers using a scoring algorithm, and coordinates the streaming connection. This mediator enables users to remotely control and request specific locations without directly managing streamers, while the system maintains ease of operation through automated matching.
Solution Approach 2:
The system implements self-service through an automated matching algorithm that autonomously pairs users with appropriate streamers based on multiple attributes including location, device capabilities, and user preferences. The algorithm calculates scores for different streamer-user combinations and automatically selects the best match, eliminating the need for manual coordination and enabling users to request specific locations independently.
2Productivity
If a matching algorithm is implemented to optimize streamer allocation, then service efficiency improves, but system complexity increases
Solution Approach 1:
The patent employs parameter changes by using a scoring algorithm that evaluates multiple attributes (location proximity, device capabilities, user preferences, streamer availability) and dynamically adjusts the matching based on weighted parameters. The system calculates composite scores for different streamer-user pairings and selects the optimal match, improving allocation efficiency through quantitative parameter evaluation rather than simple rules.
Solution Approach 2:
The matching system is segmented into distinct functional components: attribute collection modules that gather data about users, streamers, and locations; a scoring algorithm that processes these attributes; and a matching engine that generates pairings. This segmentation allows the complex matching logic to be implemented as modular, independent functions, reducing overall system complexity while maintaining high allocation efficiency.
Data Source
AI summary
Examples of the present disclosure relate to techniques providing on-demand services through the use of portable computing devices. More particularly, embodiments are related to methods and systems for allowing point-of-view streaming via mobile devices by matching users browsing a webpage with an associated real world address with a streamer with a mobile device.