Autonomous Synchronous Media Rendering via GPS and Audio Analysis
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Solution Overview
Problem
Existing systems are inefficient in automatically combining and synchronizing video segments from multiple user devices into a coherent and time-sequenced media object, requiring substantial human effort and skill, especially when dealing with diverse angles and audio tracks.
Innovation Solution
A video segment rendering system that utilizes multiple computing devices to receive and analyze video segments from various sources, including user devices, drones, and IoT devices, using metadata and AI-driven analysis to automatically create synchronized media objects based on GPS coordinates, angles, and object recognition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If video segments from multiple user devices are manually edited to create a coherent and time-sequenced media object, then the quality and coherence of the resultant video can be ensured, but the time and human effort required increase substantially
Solution Approach 1:
The system automatically analyzes metadata from multiple video segments, performs autonomous synchronization based on GPS coordinates and timestamps, and generates a coherent resultant video without requiring manual human intervention for the synchronization and selection process
Solution Approach 2:
The patent replaces the mechanical process of manual video editing with an automated computational system that uses algorithms to analyze metadata, synchronize video segments, and generate the final media object through computer-based processing
2Productivity
If video segments are automatically combined without manual review, then the productivity increases, but the coherence and quality of the resultant video deteriorates
Solution Approach 1:
The system incorporates a feedback mechanism where the automated analysis of metadata and video content informs the synchronization process, allowing the system to adjust and refine its selection and combination of video segments to maintain coherence while operating automatically
Solution Approach 2:
The patent changes the parameters used for video segment selection and synchronization from manual judgment criteria to automated metadata-based parameters such as GPS coordinates, timestamps, and detected object information, enabling high-speed automated processing that maintains coherence
3Adaptability or versatility
If multiple video segments from different angles and sources are integrated, then the versatility and content richness improve, but the complexity of synchronization and organization increases
Solution Approach 1:
The system segments the complex task of video integration into distinct analytical components: GPS coordinate analysis, timestamp processing, object detection, and audio evaluation, allowing each aspect of versatility to be handled by specialized algorithms that reduce overall system complexity
Data Source
AI summary
Systems and methods for autonomous rendering of synchronous media objects are disclosed. The system may obtain unsynchronized media objects from user devices and initialize a media object analysis procedure for each media object by collecting metadata associated with each media object and determine a plurality of labels for each media object based on the collected metadata. Further, the system may execute audio analysis for at least one audio track associated with each media object to determine an audio score. The system may then select a best audio track corresponding to each media object based on the audio scores and create a narrative sequence comprising of media object slots filled with media objects and corresponding best audio tracks for each media object. Furthermore, based on approval of the narrative sequence by a user device, the system may generate a synchronized media object preview for display on the user device.