Media Content Curation via Motion and Stability Analysis
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Solution Overview
Problem
Existing technologies face challenges in capturing and curating high-quality media segments from multiple media capture devices at different points in time and perspectives, especially when dealing with large volumes of media content, making it difficult to generate cohesive and relevant media content collections such as highlight reels.
Innovation Solution
A media system that detects triggers associated with events, obtains media segments from multiple devices, determines quality metrics based on motion, device stability, and trigger associations, and selects the highest quality segments to generate curated media content collections.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If media content from multiple media capture devices is captured and stored for processing, then the quantity and variety of media content increases, but the difficulty of capturing and curating high-quality media segments increases
Solution Approach 1:
The system performs preliminary actions by detecting triggers associated with events before media segments are fully captured or reviewed. When a trigger is detected (indicating a moment of interest), the system proactively identifies and selects corresponding media segments from multiple devices, rather than waiting to process all captured content afterward. This preliminary detection and selection approach enables the system to efficiently curate high-quality media segments even from large volumes of content.
2Adaptability or versatility
If media segments from different points in time and perspectives are collected, then the diversity and relevance of media content improves, but the complexity of organizing and curating these segments increases
Solution Approach 1:
The system uses feedback mechanisms by analyzing quality metrics of media segments and using this information to improve future selections. Quality metrics are determined based on factors such as motion detection, device stability, and trigger associations. The system continuously refines its selection process by learning from the quality assessments of previously selected segments, enabling it to automatically organize diverse media content from multiple devices and perspectives without requiring complex manual curation.
3Productivity
If automated selection based on quality metrics is implemented, then productivity in generating media content collections increases, but the need for sophisticated quality assessment algorithms increases
Solution Approach 1:
The quality assessment system is segmented into multiple independent components that evaluate different aspects of media segments separately. Quality metrics are determined based on distinct factors including motion detection (analyzing motion within the segment), device stability (assessing capture device performance), and trigger associations (evaluating relevance to detected events). This segmentation allows the system to achieve high productivity through automated selection while managing complexity by breaking down the assessment into manageable, specialized sub-functions.
Data Source
AI summary
Techniques and systems are provided for generating media content. For example, a server computer can detect a trigger from a device located at a site. The trigger is associated with an event at the site. The server computer can obtain media segments of media captured by a plurality of media capture devices located at the site. At least one of the media segments corresponds to the detected trigger. The server computer can determine one or more quality metrics of a media segment based on a first motion of an object captured in the media segment and/or a second motion of a media capture device used to capture the media segment. A subset of media segments can be selected from the obtained media segments based on quality metrics determined for the obtained media segments. A collection of media segments including the subset of media segments can then be generated.