Soundtrack Selection via Mood Attribute Matching
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Solution Overview
Problem
Current media systems lack an effective method to automatically select soundtracks that harmonize with visual media items based on mood attributes, leading to suboptimal user experience in multimedia presentations.
Innovation Solution
A computer-implemented method determines sound mood attributes of soundtracks and visual mood attributes of visual media items, using characteristics like music key, tempo, content aspects, and image aspects, to select and associate soundtracks that match the mood of the visual media, enabling synchronized playback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If automatic soundtrack selection is implemented without mood attribute analysis, then system complexity is reduced, but soundtrack-visual harmony and user experience deteriorate
Solution Approach 1:
The system performs preliminary analysis of mood attributes for both soundtracks and visual media items before making selection decisions. By pre-computing sound mood attributes (tempo, key, energy) and visual mood attributes (color palette, scene type, emotional tone), the system prepares matching criteria in advance, enabling automated selection without complex real-time processing during playback.
Solution Approach 2:
The patent introduces mood attributes as an intermediary layer between soundtracks and visual media items. Instead of directly matching complex multimedia features, the system uses simplified mood attribute vectors as mediators that capture essential emotional and atmospheric characteristics, enabling effective matching through attribute comparison rather than direct content analysis.
2Manufacturing precision
If mood attribute analysis is performed for soundtrack selection, then soundtrack-visual matching quality is improved, but processing time and computational resources increase
Solution Approach 1:
The mood attribute analysis is segmented into distinct components: sound mood attributes (tempo, key, energy, instrumentation) and visual mood attributes (color palette, scene type, emotional tone, lighting). This segmentation allows the system to analyze and match specific attribute pairs independently, reducing overall computational complexity compared to holistic analysis.
Solution Approach 2:
The system transforms complex multimedia content into simplified parameter representations - converting audio signals into mood attribute vectors and visual content into comparable attribute descriptors. By changing the representation parameters from raw media data to abstract mood characteristics, the system enables efficient comparison and matching operations.
3Measurement precision
If comprehensive sound and visual mood attributes are determined, then matching accuracy is improved, but system complexity and computational load increase
Solution Approach 1:
The patent employs a universal mood attribute framework that serves multiple functions: characterizing soundtracks, analyzing visual media, and enabling matching decisions. The same attribute dimensions (emotional tone, energy level, tempo/rhythm) are used across different media types, allowing a single analytical system to handle diverse content without requiring separate specialized analyses.
Data Source
AI summary
Implementations generally relate to selecting soundtracks. In some implementations, a method includes determining one or more sound mood attributes of one or more soundtracks, where the one or more sound mood attributes are based on one or more sound characteristics. The method further includes determining one or more visual mood attributes of one or more visual media items, where the one or more visual mood attributes are based on one or more visual characteristics. The method further includes selecting one or more of the soundtracks based on the one or more sound mood attributes and the one or more visual mood attributes. The method further includes generating an association among the one or more selected soundtracks and the one or more visual media items, wherein the association enables the one or more selected soundtracks to be played while the one or more visual media items are displayed.