Method and system for tagging content data based on artificial intelligence
AI-based content analysis allows precise tagging and grouping of multimedia content, addressing the limitations of existing systems by accurately matching creator and company requirements.
KR102999981B1Active Publication Date: 2026-08-05RATEL & PARTNERS CO LTD
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Patent Information
- Application Number
- KR1020250095054
- Authority / Receiving Office
- KR · KR
- Patent Type
- Patents
- Current Assignee / Owner
- Filing Date
- 2025-07-15
- Publication Date
- 2026-08-05
- Estimated Expiration
- 2044-10-24
AI Technical Summary
Technical Problem
Existing tagging systems for multimedia content, particularly creative content, fail to accurately identify and tag multi-layered auditory and visual elements, limiting their ability to match creator characteristics with company requirements.
Method used
A method and system utilizing artificial intelligence to analyze content data, extract component-specific characteristics, and generate multi-layered tags and attribute information, enabling precise classification and grouping of content.
Benefits of technology
Enables accurate matching of creator characteristics with company needs by automatically generating meaningful tags and attributes, allowing content to be assigned to multiple groups based on various perspectives.
✦ Generated by Eureka AI based on patent content.
Abstract
According to the present invention, a method for tagging content data based on artificial intelligence, performed by an electronic device, may include: receiving a content file containing content data forming content from a first user terminal; identifying a type of content based on the title and file format of the received content file and obtaining a plurality of first tags corresponding to the type of content; removing noise data from the content data and extracting data to be analyzed based on the type of content; generating first attribute information corresponding to each of the plurality of first tags based on feature extraction of the data to be analyzed; and generating first feature information of the content including the plurality of first tags and the first attribute information corresponding to each of the plurality of first tags and storing it in the database.
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