Automatic Playlist Generation via Audio Feature Trending
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Solution Overview
Problem
The increasing amount of media stored on electronic devices makes it time-consuming for users to find specific media that suit their needs, such as playlists transitioning between different moods or styles, as users currently have to manually scroll through large collections.
Innovation Solution
An electronic device method and apparatus that automatically selects media based on user-defined characteristics, analyzing and trending these characteristics over a specified time period or number of selections to create a seamless progression from one mood or style to another, using a weighting factor to determine the optimal media to play.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If the amount of media stored on the electronic equipment increases, then the media storage capacity is improved, but the time required to find specific media increases
Solution Approach 1:
The system automatically analyzes media characteristics and creates playlists without requiring user manual selection. The electronic equipment self-services by analyzing audio features, transitions, and patterns to curate media selections, eliminating the need for users to manually scroll through large collections.
Solution Approach 2:
The system changes the approach from manual media selection to automated selection based on analyzed parameters such as audio characteristics, transitions between media items, and temporal patterns. By transforming the selection criteria into measurable parameters, the system can automatically generate playlists that match user preferences without manual intervention.
2Quantity of substance
If the amount of media stored on the electronic equipment increases, then the media storage capacity is improved, but the complexity of media selection increases
Solution Approach 1:
The system automatically analyzes media characteristics and creates playlists without requiring user manual selection. The electronic equipment self-services by analyzing audio features, transitions, and patterns to curate media selections, eliminating the need for users to manually scroll through large collections.
Solution Approach 2:
The patent replaces the mechanical manual scrolling and selection process with an automated computational system that analyzes media characteristics algorithmically. The mechanical action of manually browsing through media is substituted by computational analysis of audio features, transitions, and patterns.
3Ease of operation
If manual media selection is used, then the user has control over media choices, but the time required to create playlists increases
Solution Approach 1:
The system analyzes user preferences through initial selections and provides feedback by automatically generating playlists that match those preferences. The automated system learns from user interactions and adjusts its selection criteria, creating a feedback loop that improves playlist accuracy over time while saving user time.
Solution Approach 2:
The system performs preliminary analysis of media characteristics and pre-generates playlist recommendations before the user needs to create playlists. By analyzing audio features, transitions, and patterns in advance, the system prepares curated selections that reduce the time required for users to create playlists while maintaining user control.
Data Source
AI summary
A method for automatically selecting a plurality of media for rendering on an electronic device includes identifying at least first and second characteristics of media to be selected, wherein the first and second characteristics are different from one another. Further, an initial media corresponding to the first characteristic and an end media corresponding to the second characteristic are selected. Then, at least one intermediate media is selected based on a trend from the first characteristic to the second characteristic.