Content Editing Apparatus Using Operation Data Recording for Section Extraction
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Solution Overview
Problem
Existing video content editing methods fail to efficiently extract and reedit sections of interest from edited video content, as original data may be deleted, and user interests in video content vary, making it difficult to generate a digest that aligns with multiple viewers' interests.
Innovation Solution
A content editing apparatus and method that records user interaction data, including scores, to identify and extract sections of interest, allowing for the reproduction and combination of content data based on user engagement metrics, enabling easy reediting and generation of digest content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If digest content is generated by removing unwanted sections, then the content becomes more concise and suitable for reproduction, but the original data may be deleted and sections of interest cannot be easily searched or reedited
Solution Approach 1:
The system records operation data including reproduction positions and user interactions before the original video data is deleted. This preliminary recording of metadata ensures that sections of interest can be quickly extracted and reedited without needing to retain the entire original dataset, thus improving editing efficiency while managing storage constraints.
Solution Approach 2:
Instead of retaining the original video data, the system creates a copy of the operation data (metadata) that contains information about reproduction positions and user interactions. This copied metadata serves as a reference for extracting and reediting sections, reducing storage requirements while maintaining the ability to efficiently retrieve interesting sections.
2Ease of operation
If sections are removed to generate digest content, then the content becomes more focused, but it becomes difficult to search for and add desired sections from the original data
Solution Approach 1:
The system records operation data that includes user interactions such as reproduction positions, pause points, and playback speed changes. This feedback information is stored and used to automatically identify sections of interest, eliminating the need for manual searching and significantly reducing the time required to extract and reedit desired sections.
Solution Approach 2:
The system replaces manual searching and selection of video sections with an automated information processing system. The recorded operation data is analyzed by a computer to automatically identify and extract sections of interest, substituting mechanical manual operations with automated digital processing, thereby improving ease of operation and reducing time loss.
3Adaptability or versatility
If digest content is created based on one user's interest, then the content meets that user's needs, but other users with different interests find the content unnecessary
Solution Approach 1:
The system segments the video content into multiple sections based on recorded operation data from multiple users. Each section is tagged with metadata indicating which users found it interesting. This segmentation allows the system to efficiently reedit content for different user groups by selecting only the relevant sections, maintaining both personalization and reediting efficiency.
Solution Approach 2:
The system changes parameters such as reproduction speed, playback position, and section selection based on recorded operation data. By analyzing these parameter variations across multiple users, the system can identify common sections of interest and efficiently generate personalized digest content for different user groups without requiring extensive manual reediting.
Data Source
AI summary
There is provided a content editing apparatus, content editing method and program capable of easily and rapidly extracting sections corresponding to a reproducing operation of content data.The content editing apparatus includes an operation input processing unit 104 into which a reproduction operating command of content data is input by a user and a record controlling unit 108 for recording operation data corresponding to the reproduction operating command input into the operation input processing unit along with a reproduction position of the content data in a recording medium.


