Theme Video Generation Using Pre-classified Picture Labels
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Solution Overview
Problem
Users face difficulties in selecting materials that match a theme when creating theme videos, leading to poor content quality in the final video.
Innovation Solution
A method where a user selects a target theme, and the system acquires corresponding picture labels from a resource server, which are used to retrieve matching pictures from a local album, allowing the system to generate a theme video without user-independent picture selection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users independently select pictures for theme videos, then users have freedom in material selection, but the selected pictures may not match the theme well, leading to poor content quality
Solution Approach 1:
The system performs preliminary classification and labeling of pictures in the user's album before the video creation process. Pictures are pre-tagged with labels such as food, scenery, and objects, and organized into categories. When a user selects a theme, the system automatically retrieves pre-classified pictures that match the theme, eliminating the need for users to manually search and select appropriate pictures while ensuring high theme matching quality.
2Manufacturing precision
If the system automatically selects pictures based on theme, then theme matching quality improves, but the system complexity increases due to picture classification and labeling requirements
Solution Approach 1:
The system enables users to perform simple self-service operations to reduce complexity. Users only need to manually label pictures with basic categories (food, scenery, objects) during a one-time setup process. The system then automatically uses these user-provided labels to perform sophisticated theme-based picture selection and video generation, transforming a complex automated classification problem into a simple user-driven labeling task.
3Adaptability or versatility
If users manually select pictures for each theme video, then picture selection flexibility is maintained, but time consumption increases and productivity decreases
Solution Approach 1:
The system creates a universal picture library that serves multiple themes simultaneously. Pictures are classified into general categories (food, scenery, objects) that can be reused across different themes. When creating any theme video, the system automatically retrieves from this universal library, allowing the same picture set to serve multiple purposes. This eliminates redundant manual selection work while maintaining flexibility, as users can still adjust selections if needed but start from a pre-filtered set.
Data Source
AI summary
Disclosed are a theme video generation method and apparatus, an electronic device and a readable storage medium. method includes: after acquiring a selection triggering operation on a target theme, sending a theme resource package acquisition request to a corresponding resource server; receiving the corresponding theme resource package that is fed back by the resource server in response to the theme resource package acquisition request, acquiring at least one target picture from a local album based on the at least one target picture label; and generating a corresponding theme video based on the least one target picture.