Video Synthesis Using Browsing Interface Picture Capture
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Solution Overview
Problem
Current methods for synthesizing videos require manual upload and selection of pictures, leading to low efficiency and inaccuracy in generating picture videos, as they do not leverage user interest data effectively.
Innovation Solution
A method that captures target pictures from a browsing interface and synthesizes them with a template video, using user history data to select and process images for dynamic playback, thereby automating the selection process and improving video synthesis efficiency and accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual upload and selection of pictures is used for video synthesis, then user control over picture selection is maintained, but video synthesis efficiency and accuracy deteriorate due to low automation and inability to leverage user interest data
Solution Approach 1:
The system automatically captures pictures from the browsing interface and selects target pictures based on user history data without requiring manual user intervention. The system serves itself by leveraging the user's own browsing behavior and interest data to perform the selection task that would otherwise require manual user input, thereby improving efficiency while maintaining alignment with user preferences
Solution Approach 2:
The system utilizes user history data (browsing records, likes, favorites) as feedback to automatically select target pictures that align with user interests. This feedback mechanism enables the system to improve video synthesis accuracy by selecting pictures that reflect actual user preferences, resolving the contradiction between automation and selection quality
2Measurement precision
If manual picture selection is used, then picture selection accuracy based on user preferences is limited, but system complexity and processing requirements remain low
Solution Approach 1:
The system performs preliminary actions by capturing and storing user history data (browsing records, likes, favorites) in advance before video synthesis is needed. This pre-processing of user preference data enables the system to quickly and accurately select target pictures during video synthesis without requiring complex real-time analysis, thereby improving selection accuracy while managing system complexity
Solution Approach 2:
The system introduces user history data as an intermediary element that bridges the gap between manual selection and automated processing. By using this intermediary data source, the system can automatically select pictures with high accuracy aligned with user preferences without requiring direct complex interaction with user preferences at the moment of synthesis
Data Source
AI summary
A method for synthesizing videos includes: capturing one or more target pictures from a browsing interface of a client; acquiring a target template video configured for the one or more target pictures, wherein the target template video includes a video playback effect; and acquiring a picture video by synthesizing the one or more target pictures and the target template video.