Crowd-Sourced Media Analysis Using Sensor Data for Focus Point Classification
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Solution Overview
Problem
Existing methods struggle to effectively combine and prioritize media content from multiple sources at events, such as sporting or musical events, due to varying angles and perspectives captured by unconstrained individuals, resulting in a fragmented view.
Innovation Solution
A method utilizing crowd-sourced sensing to analyze sensor data from media capturing devices, determining focus points of interest and classifying them to generate a cohesive media content recording, such as a video remix or summary, by prioritizing media segments based on interestingness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If multiple videos from different people are combined to provide a more fulsome video of an event, then the completeness and diversity of the media content is improved, but the complexity of selecting and synchronizing the videos increases
Solution Approach 1:
The patent introduces sensor data (accelerometer, gyroscope, magnetometer) as an intermediary to objectively determine focus points and synchronize videos. This mediator resolves the complexity of manual video selection by providing automated, data-driven criteria for identifying important moments and aligning multiple video streams based on physical device orientation and movement patterns.
2Loss of information
If videos captured from different angles and perspectives are mixed, then the comprehensiveness of the event representation is improved, but the difficulty of aligning and synchronizing the videos increases
Solution Approach 1:
The system uses sensor feedback (accelerometer, gyroscope, magnetometer readings) to continuously monitor device orientation and movement, providing real-time data that enables automatic synchronization of videos from different perspectives. This feedback mechanism allows the system to align videos based on objective physical measurements rather than manual timing, resolving the synchronization difficulty while maintaining diverse angle coverage.
3Measurement precision
If sensor data from multiple devices is analyzed to determine focus points, then the accuracy of identifying areas of interest is improved, but the quantity of data to be processed increases
Solution Approach 1:
The patent merges sensor data from multiple devices by identifying consensus focus points - areas where multiple devices simultaneously orient their sensors. This combining approach increases detection accuracy through crowd-sourced validation while managing data quantity by synthesizing multiple inputs into a unified focus point identification, rather than processing each device's data independently.
Data Source
AI summary
An apparatus for classifying focus points detected in media content associated with an event(s) and generating a media content recording with media segments associated with a portion of the focus points may include a processor and memory storing executable computer program code that cause the apparatus to at least perform operations including receiving items of recorded media content and sensor data, from one or more devices, corresponding to at least one event. The computer program code may further cause the apparatus to determine one or more focus points of interest in the media content indicating areas or locations of interest that are associated with the event. The computer program code may further cause the apparatus to classify the focus points of interest based in part on analyzing respective items of the sensor data. Corresponding methods and computer program products are also provided.