Image Analysis for Musical Score Retrieval Without Notation Knowledge
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Solution Overview
Problem
Existing technologies require musical knowledge to retrieve a desired musical piece, limiting situations in which retrieval is possible, and a similar issue occurs when retrieving a document with a desired character string.
Innovation Solution
An image analysis method and device that generate partial-image analysis data by analyzing a partial image of a musical score or document and select a candidate image by comparing its characteristics with candidate image analysis data, allowing for easy identification of desired information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the user specifies notes of a desired musical piece, then the desired musical piece can be retrieved, but the user needs to have musical knowledge which limits retrieval situations
Solution Approach 1:
The patent uses image copying technology to capture visual representations of musical scores and documents. Instead of requiring users to input musical notation or text, the system captures images of the actual score or document pages, converts them to analysis data, and performs retrieval based on visual pattern matching. This allows users without specialized knowledge to retrieve desired content simply by taking a photo.
Solution Approach 2:
The patent replaces the mechanical system of manual note specification with an optical/image-based system. The imaging device captures the visual appearance of musical scores, and image analysis algorithms automatically extract features and compare them with stored candidate images. This substitution eliminates the need for users to understand musical notation while maintaining accurate retrieval capability.
2Measurement precision
If the user specifies character strings in a document, then the desired document can be retrieved, but the user needs to know the exact character string which limits retrieval situations
Solution Approach 1:
The patent applies image copying to document retrieval by capturing photographs of document pages. The system analyzes the visual appearance of the captured document, extracts text and layout features, and compares them with stored document images. This allows users to retrieve documents by photographing any visible portion without needing to know specific text content or search keywords.
Solution Approach 2:
The patent creates a universal retrieval system that handles both musical scores and general documents using the same image analysis framework. The system can process any visual document content regardless of language, script, or format, making it adaptable to various retrieval scenarios without requiring user input in specific formats or languages.
Data Source
AI summary
Disclosed is an image analysis method implemented by a computer, the method including analyzing a partial image which is a part of an image of a planar subject, generating partial-image analysis data representing a characteristic of the partial image, comparing, for each of a plurality of images, candidate-image analysis data with the partial-image analysis data, the candidate-image analysis data representing a characteristic of each of the plurality of images, and selecting a candidate image among the plurality of images, the candidate image including a part corresponding to the partial image.