Face Group Video Generation for Faster Portrait Selection
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Solution Overview
Problem
Complex video composition operations lead to low convenience for users due to difficulties in managing and naming face groups in video generation.
Innovation Solution
An electronic device provides a video generation method with a video production window displaying theme cards, operation windows for selecting video themes, and selection windows for facial images, allowing users to efficiently select and name face groups and portrait materials based on facial images, enhancing video composition efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If users manually manage and name face groups in video generation, then video composition accuracy can be improved, but operation complexity increases and convenience decreases
Solution Approach 1:
The system automatically performs face recognition and grouping operations without requiring manual user intervention. The electronic device autonomously identifies facial images in portrait materials, groups them by person, and generates face groups with automatic naming, allowing the system to serve itself in the face management task.
Solution Approach 2:
The system performs face recognition and face group generation in advance before video composition begins. By pre-processing the portrait materials to create organized face groups with identifying names, the system prepares the data structure beforehand, eliminating the need for manual management during the actual video creation process.
2Manufacturing precision
If the system provides detailed face group management options, then video generation accuracy improves, but the number of operations and time required increases
Solution Approach 1:
The system performs face recognition and organizes face groups before the user initiates video generation. By pre-processing and preparing the face group data structure with automatic naming conventions, the system eliminates time-consuming manual management steps during actual video creation.
Solution Approach 2:
The electronic device autonomously identifies facial images, groups them by person, and generates structured face group data without requiring user intervention. This self-service approach to face management significantly reduces the time users would otherwise spend on manual organization while maintaining high accuracy.
3Manufacturing precision
If the system requires manual selection of each portrait material, then composition accuracy improves, but operation complexity and time consumption increase
Solution Approach 1:
The system pre-organizes portrait materials into structured face groups with automatic naming before video composition begins. This preliminary organization allows the system to quickly retrieve and assemble appropriate portrait materials during video generation without requiring manual selection of each individual material.
Solution Approach 2:
The system combines multiple portrait materials containing facial images of the same person into unified face groups. By merging these related materials into organized groups with automatic naming, the system enables efficient selection and assembly during video composition, improving both accuracy and productivity.
Data Source
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AI summary
A video generation method and an electronic device are provided. The method includes: An electronic device displays a video production window. The electronic device displays an operation window of a target video theme in response to an operation of selecting a target theme card in a plurality of theme cards by a user. When all persons corresponding to at least one face group lack name data, the operation window includes a first video creation entry; or when at least one of persons corresponding to at least one face group has name data, the operation window includes a second video creation entry. The electronic device displays a first selection window in response to an operation performed on the first video creation entry. The first selection window includes a facial image of at least one person. The electronic device generates, in response to an operation of selecting a facial image by the user, a video of a person corresponding to the facial image selected by the user. Alternatively, the electronic device generates, in response to an operation performed on the second video creation entry, a video of a person corresponding to the second video creation entry.