Media Content Generation via Time-Based Audio-Image Correlation
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Solution Overview
Problem
Current methods for generating media content from user-generated images and commercial audio lack the ability to effectively correlate and combine these elements based on the time of capture and playback, resulting in an incomplete representation of the user's experience.
Innovation Solution
A method and system that receive and store image content items with metadata indicating the time of capture, correlate them with playback logs of audio content, and generate a media output by accompanying the images with audio content that was played during the time of capture, allowing for the creation of a cohesive experience such as a slideshow or video with a soundtrack that reflects the event or experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If user-generated image content and commercial audio content are combined without time-based correlation, then media content can be generated quickly and easily, but the audio content does not accurately reflect the user's experience at the time of capture
Solution Approach 1:
The system performs preliminary actions by storing playback logs of audio content in advance before media generation is requested. When images are uploaded, the system already has audio playback data available to correlate with the capture timestamps, enabling accurate matching without complex real-time analysis.
Solution Approach 2:
The system uses capture timestamp metadata from images as feedback to query and select audio content that was playing at those specific times. This feedback mechanism ensures the selected audio accurately reflects what the user was experiencing when each photo was taken.
2Ease of operation
If audio content is selected without considering capture time metadata, then the media generation process is simpler and faster, but the resulting soundtrack is less relevant to the depicted experience
Solution Approach 1:
The system makes the media generation process self-service by automatically extracting capture timestamps from image metadata and autonomously selecting and syncing appropriate audio content without requiring user intervention. Users simply upload images and the system handles the rest.
Solution Approach 2:
Audio content selection is performed in advance during the media generation process rather than requiring manual user selection. The system pre-processes the correlation between capture timestamps and audio playback logs to automatically assemble the soundtrack.
3Loss of information
If time-based correlation between image capture and audio playback is implemented, then the audio soundtrack accurately reflects the user's experience, but the system complexity and processing requirements increase
Solution Approach 1:
The system performs audio selection and correlation in advance during the media generation workflow. By pre-processing the timestamp correlation between images and audio logs, the system avoids complex real-time synchronization and delivers results quickly.
Solution Approach 2:
The system replaces manual audio selection and synchronization processes with automated computational methods. Algorithms automatically correlate timestamps and select audio content, substituting what would otherwise require manual mechanical operations.
Data Source
AI summary
A method of generating media content is described which comprises capturing still or moving image content items at a capture device and uploading the captured image content items and image content metadata indicating a time of capture of each of the image content items to a network. A playback log indicating playback times of audio content items listened to by the user of the capture device is stored. One or more of the captured image content items is correlated with one or more portions of the playback log based on the time of capture indicated by the metadata relating to the one or more captured content items and the playback times indicated by the playback log. A media output is generated as a collection of a plurality of the captured image content items stored at the network accompanied by audio content related to the portion of the playback log which is correlated with the captured image content items in the collection. In this way, a media output can be generated at a network, such as a cloud network, from user generated image content and commercial audio content which the user who captured the image content was listening to at the time the image content was captured.