Seamless Media Clip Splicing via Automatic Characteristic Extraction
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Solution Overview
Problem
Current technologies lack an effective method to efficiently and seamlessly integrate media information clips obtained through photography with imitation media information, requiring users to operate professional editing software and memorize all characteristics of the target media information clip.
Innovation Solution
A media information processing method and apparatus that determines media information clips and their characteristics, generates a first media information clip based on these characteristics, and splices it with corresponding second media information clips, allowing seamless integration without the need for users to memorize or operate professional editing software.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If users process media information clips by using professional media editing software to replace original clips, then the media information can be integrated, but the operation complexity and difficulty increase significantly
Solution Approach 1:
The system automatically copies the target media information clip characteristics (such as background audio, timing, and visual elements) and applies them to the user's photographed clip. This eliminates the need for users to manually edit and match clips using professional software, as the system performs the copying and integration automatically based on extracted characteristics.
Solution Approach 2:
The system performs automatic processing of media information clips by extracting characteristics from target clips and seamlessly integrating user photographs without requiring manual intervention. The automated characteristic extraction and clip matching functions enable the system to serve itself, eliminating the need for users to operate complex editing software.
2Manufacturing precision
If users memorize all characteristics of the target media information clip to perform accurate imitation, then the integration accuracy improves, but the time and cognitive load increase
Solution Approach 1:
The system performs preliminary extraction of characteristics from the target media information clip before the user needs to perform imitation. By pre-processing the target clip to identify and extract key characteristics (audio patterns, visual styles, timing information), the system prepares all necessary data in advance, eliminating the need for users to memorize these characteristics during the performance process.
Solution Approach 2:
The system acts as an intermediary that automatically extracts and analyzes characteristics from the target media information clip, then applies these extracted characteristics to guide the integration process. This intermediary function replaces the need for human memorization and manual matching, as the system automatically bridges the target clip and user photograph through characteristic extraction and application.
3Productivity
If manual editing operations are performed to integrate photographed clips with target media information, then the integration can be achieved, but the processing efficiency decreases
Solution Approach 1:
The system replaces manual mechanical editing operations with automated computational processing. Instead of users manually manipulating clips in editing software, the system uses automated algorithms to extract characteristics, match clips, and perform seamless integration, dramatically improving processing efficiency while maintaining operation simplicity.
Solution Approach 2:
The system performs self-service by automatically completing the entire integration process from characteristic extraction to final clip assembly without requiring manual editing operations. The automated system handles all processing steps, including identifying target clips, extracting their characteristics, matching user photographs, and generating the integrated result, thereby maximizing processing efficiency.
Data Source
AI summary
The present disclosure discloses a media information processing method performed by a media information processing apparatus. The apparatus determines media information clips of target media information and their characteristics, and generates a first media information clip of a first user based on the determined characteristics. Next the apparatus determines media information clips other than the target media information clip in the target media information, and obtains a second media information clip corresponding to the characteristics of the determined media information clips. The apparatus then determines a splicing manner of the media information clips in the target media information, and splices the first media information clip and the second media information clip based on the determined splicing manner. By implementing the present disclosure, a media information clip obtained by a user through photographing and media information obtained by the user through imitation can be efficiently and seamlessly integrated.