Audio File Management via Album Image Color Analysis
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Solution Overview
Problem
Current audio file management systems lack the ability to effectively categorize and manage audio files based on their color attributes, which can represent style attributes such as melancholy or happy, becoming inefficient as the number of files increases.
Innovation Solution
A method and device for audio file management that acquires an album image, performs color analysis to determine a characteristic color, sets a color label for the audio file, and manages the file based on this label, enhancing diversity and intelligence in audio file organization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If audio files are managed based on basic information (genre, singer), then the management system remains simple, but the management diversity and intelligence are insufficient
Solution Approach 1:
The patent applies color analysis to album images by extracting characteristic colors and mapping them to color labels (e.g., red, orange, yellow, green, cyan, blue, purple, pink, brown, gray, black, white). This allows audio files to be categorized and managed based on color attributes of their cover images, adding a new dimension to file organization without requiring complex structural changes to the management system.
Solution Approach 2:
The patent introduces color labels as an intermediary between the visual appearance of album images and the audio file metadata. The color analysis module extracts characteristic colors from images, converts them to standardized color labels, and attaches these labels to audio files. This intermediary approach enables intelligent management based on visual characteristics without directly modifying the core audio file structure.
2Productivity
If the number of audio files increases, then more files need to be managed, but the existing management methods become inefficient
Solution Approach 1:
By extracting characteristic colors from album images and converting them to discrete color labels, the system creates an efficient indexing mechanism. Users can quickly locate audio files by color category, and the system can perform rapid filtering and sorting operations based on color attributes, significantly improving search and retrieval efficiency as the file collection grows.
Solution Approach 2:
The color analysis module automatically processes album images and assigns color labels without requiring manual user input. The system self-manages the categorization process by extracting colors from images, mapping them to standardized labels, and attaching these labels to audio files, thereby improving management efficiency without increasing operational complexity.
3Loss of information
If color analysis is performed on album images, then style attributes can be reflected, but additional processing steps are required
Solution Approach 1:
The patent extracts only the essential color information from album images by identifying characteristic colors and mapping them to standardized color labels. This extraction approach captures the relevant style attribute information (color characteristics) while discarding unnecessary image data, thereby preserving important visual information without requiring complex image processing or storage of complete images.
Data Source
AI summary
The embodiments of the disclosure provide a method and device for audio file management and a storage medium. The method may include that: an album image corresponding to an audio file to be managed is acquired (S101); color analysis is performed on the album image to obtain a characteristic color of the album image (S102); a color label is set for the audio file according to the characteristic color of the album image (S103); and the audio file is managed according to the color label of the audio file (S104). According to the embodiments of the present disclosure, the audio file may be managed on the basis of colors, so that diversity and intelligence of the means of audio file management are improved.