Video Edit Range Automation via Time Axis Metadata
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Solution Overview
Problem
Current video editing methods for general users are complex and lack automation, making it difficult for them to easily set and manage edit ranges in video data, which hinders a seamless editing experience.
Innovation Solution
An image processing method that determines additional information along a video's time axis to set edit ranges, allowing users to designate specific points in time or time ranges, with adjustable time periods for each type of information, enabling automatic and intuitive editing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If video editing is made simple and easy to understand for general users, then ease of operation is improved, but automation capability deteriorates
Solution Approach 1:
The system automatically analyzes video data and sets edit ranges without requiring user intervention. The processor examines the video content, identifies appropriate edit points, and creates edit ranges automatically, allowing the system to serve itself rather than requiring complex user operations.
Solution Approach 2:
The system performs preliminary analysis of the video data before the user needs to edit. By pre-processing the video to identify potential edit points and create edit ranges in advance, the system prepares the editing work beforehand, making the actual editing process simpler for users.
2Extent of automation
If automatic processing is provided to propose editing results, then extent of automation is improved, but ease of operation deteriorates
Solution Approach 1:
The system automatically analyzes video data and sets edit ranges without requiring user intervention. The processor examines the video content, identifies appropriate edit points, and creates edit ranges automatically, allowing the system to serve itself rather than requiring complex user operations.
3Ease of operation
If edit range setting becomes simple with additional information, then ease of operation is improved, but device complexity deteriorates
Solution Approach 1:
The system extracts additional information from the video data, such as metadata, timestamps, or content descriptors, and uses this extracted information to automatically determine edit ranges. By separating the analysis function from the editing function, the system simplifies the user interface while managing complexity internally.
Solution Approach 2:
The processor acts as an intermediary between the raw video data and the user interface. It automatically processes the video content, generates edit range suggestions based on additional information, and presents these simplified options to the user, shielding them from the underlying complexity.
Data Source
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AI summary
To improve usability and edit efficiency of video data editing based on additional information, additional information added according to a time axis of video data is first recognized. An edit range of the video data is then set according to whether the additional information is first additional information for designating a specific point in time in the time axis of the video or second additional information for designating a specific time range in the time axis of the video. Therefore, a part to be handled as the edit range is set according to the additional data.