Location-Based Media Content Distribution System
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Solution Overview
Problem
Existing methods for delivering digital content are limited in providing a range of point-of-view (POV) options for users, restricting the ability of end users to receive desired content over a communication network.
Innovation Solution
A content processing system that allows observers at live events to create and upload digital content from their POV, using location monitoring systems like GPS, RFID, and NFC to determine the best content streams for end users, enabling selection and distribution of desirable content based on location, time, and quality criteria.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple POV content streams are collected and distributed to end users, then the variety and quality of content options for users are improved, but the system resource consumption and complexity increase
Solution Approach 1:
The system segments content management by organizing multiple POV content streams from different locations into distinct categories and streams. Each content stream is independently managed and distributed based on user location and preferences, allowing the system to handle complexity in a modular fashion while providing diverse content options.
Solution Approach 2:
A servicer acts as an intermediary between content providers and end users. The servicer receives content from multiple sources, determines desirable content based on user profiles and location data, and distributes appropriate content streams to users. This intermediary layer manages system complexity by centralizing the decision-making process for content selection and distribution.
2Measurement precision
If content is distributed based on detailed location monitoring and analysis, then the precision and relevance of content delivery are improved, but the use of energy and computational resources increase
Solution Approach 1:
The system uses location monitoring to determine content distribution, but applies partial action by only processing and analyzing location data to the extent necessary for content selection. Not all location data is fully processed for every user, but only enough information is used to determine relevant content streams, reducing computational energy consumption while maintaining adequate precision.
Solution Approach 2:
The system changes parameters by using aggregated location data and proximity thresholds rather than continuously processing high-precision coordinates for every content decision. Location precision is adjusted based on the specific content distribution scenario, using higher precision only when necessary and lower precision for routine distributions, thereby optimizing energy consumption.
3Quantity of substance
If all captured media content is uploaded and made available for distribution, then the quantity and diversity of content are improved, but the loss of time and system resources increase
Solution Approach 1:
The servicer performs preliminary action by pre-determining which content streams are desirable for distribution based on user profiles, historical data, and location information before actual content upload and distribution occurs. This preliminary selection process reduces the need to upload and process all captured content, saving time and resources while still providing diverse content options.
Solution Approach 2:
The system extracts only the necessary and desirable content streams from the total captured media content for upload and distribution. Instead of uploading all content from multiple cameras and devices, the servicer identifies and extracts specific content streams that match user preferences and location criteria, reducing upload time and resource consumption while maintaining content diversity.
Data Source
AI summary
A method for processing media content is described. The method includes steps of receiving via a wireless network and at a content processing server media content of an activity captured by a mobile device; identifying a location of the mobile device and a location of the activity; and identifying a point of view characteristic of the received media content based on the location of the mobile device and the location of the activity. It is then determined whether the point of view characteristic of the received media content corresponds to a desired point of view of the activity. Upon determining the point of view characteristic of the received media content corresponds to the desired point of view, the content processing server selects to perform at least one of uploading and/or distributing of the media content via the content processing server to a user display device.


