Multimedia Tagging via Automatic Comment Integration
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Solution Overview
Problem
Existing mobile device search techniques, whether based on file names or metadata, struggle to efficiently find meaningful multimedia data, as they often rely on system-generated information or lack user-inputted comments, making it difficult for users to locate desired files.
Innovation Solution
A method and apparatus that automatically tag related comments to multimedia data during upload or download, allowing for unified searching based on meaningful user-inputted information, which enhances the ability to find desired multimedia data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If file name-based search is used, then the search function is simple to implement, but it is difficult to obtain desired results when files are automatically named by the system
Solution Approach 1:
The patent introduces comments as an intermediary element between the file and the search function. These comments contain meaningful keywords that users can input, serving as a bridge between the automatic file naming system and the user's search intent, thereby improving search effectiveness without changing the file naming mechanism
Solution Approach 2:
The patent adds a new dimension to the search system by incorporating comments with keywords as a separate searchable attribute. This allows users to search based on meaningful content descriptors rather than relying solely on file names, creating an additional search dimension that complements the existing file name-based search
2Quantity of substance
If metadata-based search is used, then more file information is available for searching, but it still cannot find meaningful files for users as metadata only contains system-generated information
Solution Approach 1:
The patent creates a composite search metadata structure that combines traditional system-generated metadata (file size, resolution, shooting time) with user-generated comment information containing keywords. This composite approach leverages both the structured reliability of system metadata and the meaningful context of user comments to improve search effectiveness
3Reliability
If user comments are manually added to multimedia data, then search effectiveness is improved, but the operation complexity and time required increase
Solution Approach 1:
The system automatically manages the comment tagging process by extracting keywords from user comments and attaching them to multimedia files without requiring manual user intervention. The system serves itself by automating the metadata enrichment process, maintaining search effectiveness while eliminating operational complexity for users
Solution Approach 2:
The system performs preliminary processing of user comments by automatically extracting and tagging keywords before the user needs to search. This preliminary action prepares the data in advance, so when users perform searches, the meaningful keyword information is already available, eliminating the need for users to manually add or process comments
Data Source
AI summary
A method and apparatus tag multimedia data with a related comment. In the method, the apparatus receives a request for uploading or downloading the multimedia data, and checks whether there is at least one related comment linked to the multimedia data. Then, the apparatus automatically tags the at least one related comment to the multimedia data if there is the at least one related comment, and uploads or downloads the multimedia data tagged with the at least one related comment.