Media Content Identification via Indirect Quality Scoring
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Solution Overview
Problem
The abundance of media content options makes it difficult for users to find content that complements their activities, environments, or moods, as existing systems struggle to effectively identify and recommend media items based on indirect qualities such as emotional response, energy levels, and suitability for specific activities.
Innovation Solution
A media-delivery system that includes a content identification engine to analyze and score media content items based on indirect qualities using statistical models, allowing users to search and filter content through a user-actuatable interface, and presenting relevant items for playback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If users access a large catalog of media content through streaming services or storage, then media content availability increases, but difficulty in finding or selecting the right media content increases
Solution Approach 1:
The patent replaces manual browsing and selection mechanisms with an automated content identification system that uses audio fingerprinting and statistical modeling. The system automatically analyzes media content items to generate scores for indirect qualities (e.g., danceability, energy, valence) without requiring user interaction, thus substituting mechanical user effort with automated computational processes.
Solution Approach 2:
The patent introduces an intermediary content identification engine that acts as a mediator between the large media content catalog and the user. This engine generates indirect quality scores that bridge the gap between raw media content and user preferences, making the vast catalog searchable and selectable through meaningful quality metrics rather than requiring direct user exploration.
2Ease of operation
If existing systems use basic search criteria, then search simplicity is maintained, but ability to identify media based on indirect qualities such as emotional response and energy levels deteriorates
Solution Approach 1:
The patent segments the media content analysis into multiple independent quality dimensions (e.g., danceability, energy, valence, instrumentalness). Each dimension is scored separately using dedicated statistical models, allowing the system to maintain simple user interface controls while providing precise measurement of various indirect qualities through separate analysis components.
Solution Approach 2:
The patent transforms unobservable indirect qualities (emotional response, energy levels) into measurable parameter scores through statistical modeling. By changing the parameter representation from subjective human perception to objective computational metrics, the system enables precise identification of media based on indirect qualities while maintaining ease of use through standardized score ranges.
Data Source
AI summary
Systems, devices, and methods for identifying media content using indirect qualities are provided. An example media-delivery system includes a content identification engine that applies a model associated with an indirect quality to media content items to generate indirect quality scores for the media content items, filters the media content items based on metadata associated with the media content items to generate filtered media content items, and presents at least some of the filtered media content items based on the indirect quality scores. An example media-playback device includes a search control engine that presents a search interface with a user-actuatable control for specifying a value of an indirect quality for use as a search criteria, transmits the search criteria to a media-delivery service, and receives media content items matching the search criteria from the media-delivery service, wherein the media content items are identified using a statistical model.