Mobile Media Player Playlist Generation via Metadata Extraction
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Solution Overview
Problem
Current methods for generating playlists from audio files, such as podcasts, are cumbersome as users must manually identify and add songs to playlists across different applications, and interacting with mentioned content requires switching between apps.
Innovation Solution
A computer-implemented method on mobile devices that obtains audio files, extracts metadata, and displays information to allow users to add songs or links to playlists directly within the media player application, streamlining the process by integrating metadata-based interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users manually identify and add songs to playlists across different applications, then playlist creation is possible, but user effort and time consumption increase significantly
Solution Approach 1:
The system automatically extracts song metadata and identifies tracks within the audio file without requiring manual user input. The metadata contains song titles, artists, and timestamps, enabling the system to self-identify and organize songs into playlists automatically.
Solution Approach 2:
The metadata is extracted and processed in advance, with song information and timestamps prepared before the user needs to create a playlist. This preliminary organization of data eliminates the need for real-time manual identification during playlist creation.
2Adaptability or versatility
If users switch between applications to interact with mentioned content, then content interaction is possible, but operation complexity increases
Solution Approach 1:
The system combines multiple functions (audio playback, metadata extraction, playlist creation, and content interaction) into a single application interface. Users can interact with mentioned content directly within the media player without switching to external applications, reducing operational complexity.
Solution Approach 2:
The media player application is designed to perform multiple functions: playing audio files, extracting and displaying metadata, creating playlists, and providing links to external content. This multi-functional approach eliminates the need for separate specialized applications.
3Loss of information
If metadata is extracted and displayed in the media player, then song information becomes accessible, but data processing requirements increase
Solution Approach 1:
The system extracts only the essential metadata fields (song title, artist, timestamp) from the audio file, rather than processing all available data. This selective extraction reduces computational overhead while providing sufficient information for playlist creation and display.
Data Source
AI summary
The present disclosure relates to a method for generating a music playlist. The method may be applied to a mobile device and include obtaining an audio file. The audio file may include at least one song. The mobile device may also obtain metadata of the audio file. The mobile device may further display information about the at least one song based on the metadata. The mobile device may, in addition, add the at least one song to a playlist based on the display information.